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Ignasi Iriondo
Department of Engineering, Universitat Ramon Llull (URL), La Salle, 08022 Barcelona, Spain

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Short Biography

Ignasi Iriondo received a Ph.D. degree in Electrical Engineering, an M.Sc. degree in Electrical Engineering and a B.Sc. degree in Telecommunication Engineering from La Salle, Universitat Ramon Llull (URL) in 2008, 1994 and 1992, respectively. He worked as an engineer in R&D for three years in CIBERVEU, SA, a company dedicated to speech technology, aimed at people with disabilities. At present, he belongs to GRETEL (Group of Research in Technology Enhanced Learning) at La Salle Universitat Ramon Llull (URL) and he is the coordinator of the Degree in Audiovisual Engineering and associate professor. His major research interests are audio processing and university teaching methodologies. He has several contributions to scientific journals and international conferences.

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Journal article
Published: 12 July 2021 in Sensors
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Qualitative research activities, including first-day of class surveys and user experience interviews on completion of a subject were carried out to obtain students’ feedback in order to improve the design of the subject ‘Information Systems’ as a part of a general initiative to enhance ICT (Information and Communication Technologies) engineering programs. Due to the COVID-19 (corona virus disease 2019) pandemic, La Salle URL adopted an Emergency Remote Teaching tactical solution in the second semester of the 2019–2020 academic year, just before implementing a strategic learning approach based on a new Smart Classroom (SC) system deployed in the campus facilities. The latter solution was developed to ensure that both on-campus and off-campus students could effectively follow the course syllabus through the use of new technological devices introduced in classrooms and laboratories, reducing the inherent difficulties of online learning. The results of our findings show: (1) No major concerns about the subject were identified by students; (2) Interaction and class dynamics were the main issues identified by students, while saving time on commuting when learning from home and access to recorded class sessions were the aspects that students considered the most advantageous about the SC.

ACS Style

Josep Petchamé; Ignasi Iriondo; Eva Villegas; David Fonseca; Susana Romero Yesa; Marian Aláez. A Qualitative Approach to Help Adjust the Design of Management Subjects in ICT Engineering Undergraduate Programs through User Experience in a Smart Classroom Context. Sensors 2021, 21, 4762 .

AMA Style

Josep Petchamé, Ignasi Iriondo, Eva Villegas, David Fonseca, Susana Romero Yesa, Marian Aláez. A Qualitative Approach to Help Adjust the Design of Management Subjects in ICT Engineering Undergraduate Programs through User Experience in a Smart Classroom Context. Sensors. 2021; 21 (14):4762.

Chicago/Turabian Style

Josep Petchamé; Ignasi Iriondo; Eva Villegas; David Fonseca; Susana Romero Yesa; Marian Aláez. 2021. "A Qualitative Approach to Help Adjust the Design of Management Subjects in ICT Engineering Undergraduate Programs through User Experience in a Smart Classroom Context." Sensors 21, no. 14: 4762.

Journal article
Published: 02 July 2021 in Sustainability
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The expectations, attitudes, engagement, and motivation of students are key elements when designing learning activities. Several studies have been implemented and different strategies and activities have been analyzed to improve the aforesaid aspects of learning content. In the context of the New Learning Context (NLC), this paper presents the findings of two first day of class activities aimed at engaging engineering students in a business and management subject from the very first moment: an empirical study conducted by means of a survey answered by engineering students in Information and Communication Technologies (ICT), followed by an interactive activity between students and instructors carried out through a reciprocal interview activity. The survey was performed with the objective of identifying what they ‘liked’ and ‘disliked’ on their first day of class of a business subject. The findings are presented and compared with previous studies and have proven to be mostly consistent with previous academic work. Finally, a reciprocal interview activity was chosen to potentially enhance the students’ engagement and motivation. According to the feedback received, this activity was positively valued by the students.

ACS Style

Josep Petchamé; Ignasi Iriondo; Xavi Canaleta; David Riu; Silvia Necchi. Engaging ICT Engineering Undergraduates in a Management Subject through First Day of Class Activities: An Empirical Study. Sustainability 2021, 13, 7440 .

AMA Style

Josep Petchamé, Ignasi Iriondo, Xavi Canaleta, David Riu, Silvia Necchi. Engaging ICT Engineering Undergraduates in a Management Subject through First Day of Class Activities: An Empirical Study. Sustainability. 2021; 13 (13):7440.

Chicago/Turabian Style

Josep Petchamé; Ignasi Iriondo; Xavi Canaleta; David Riu; Silvia Necchi. 2021. "Engaging ICT Engineering Undergraduates in a Management Subject through First Day of Class Activities: An Empirical Study." Sustainability 13, no. 13: 7440.

Journal article
Published: 10 June 2021 in Sustainability
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The COVID-19 pandemic significantly disrupted traditional face-to-face teaching worldwide and forced education institutions to adopt new, online teaching formats to enable students to continue with their studies. This research focuses on students’ perceptions of three teaching different modalities: face-to-face (F2F), Emergency Remote Teaching (ERT) and Smart Classroom (SC), which were implemented in response to the restrictions enforced to combat the spread of COVID-19. A qualitative study based on two user experience techniques, Pocket Bipolar Laddering and Emotional Appraisal, was carried out on a group of second-year ICT engineering university students at La Salle Campus Barcelona. The former technique consists in identifying a maximum of three positive and three negative salient items, while the latter is intended to rate pairs of opposite feelings. In the SC format, saving time on travel to university was considered an advantage of online learning, while disadvantages included less effective instructor–student interaction, distractions when off-campus and teamwork issues. These shortcomings can be addressed by specific online teaching training to develop a more active form of learning and foment student participation. However, both ERT and SC modalities were considered effective solutions to cope with the social and mobility restrictions imposed during the pandemic.

ACS Style

Josep Petchamé; Ignasi Iriondo; Eva Villegas; David Riu; David Fonseca. Comparing Face-to-Face, Emergency Remote Teaching and Smart Classroom: A Qualitative Exploratory Research Based on Students’ Experience during the COVID-19 Pandemic. Sustainability 2021, 13, 6625 .

AMA Style

Josep Petchamé, Ignasi Iriondo, Eva Villegas, David Riu, David Fonseca. Comparing Face-to-Face, Emergency Remote Teaching and Smart Classroom: A Qualitative Exploratory Research Based on Students’ Experience during the COVID-19 Pandemic. Sustainability. 2021; 13 (12):6625.

Chicago/Turabian Style

Josep Petchamé; Ignasi Iriondo; Eva Villegas; David Riu; David Fonseca. 2021. "Comparing Face-to-Face, Emergency Remote Teaching and Smart Classroom: A Qualitative Exploratory Research Based on Students’ Experience during the COVID-19 Pandemic." Sustainability 13, no. 12: 6625.

Journal article
Published: 21 August 2020 in Sensors
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Poultry meat is the world’s primary source of animal protein due to low cost and is widely eaten at a global level. However, intensive production is required to supply the demand although it generates stress to animals and welfare problems, which have to be reduced or eradicated for the better health of birds. In this study, bird welfare is measured by certain indicators: CO2, temperature, humidity, weight, deaths, food, and water intake. Additionally, we approach an acoustic analysis of bird vocalisations as a possible metric to add to the aforementioned parameters. For this purpose, an acoustic recording and analysis of an entire production cycle of an intensive broiler Ross 308 poultry farm in the Mediterranean area was performed. The acoustic dataset generated was processed to obtain the Equivalent Level (Leq), the mean Peak Frequency (PF), and the PF variation, every 30 min. This acoustical analysis aims to evaluate the relation between traditional indicators (death, weight, and CO2) as well as acoustical metrics (equivalent level impact (Leq) and Peak Frequency) of a complete intensive production cycle. As a result, relation between CO2 and humidity versus Leq was found, as well as decreases in vocalisation when the intake of food and water was large.

ACS Style

Gerardo José Ginovart-Panisello; Rosa Ma Alsina-Pagès; Ignasi Iriondo Sanz; Tesa Panisello Monjo; Marcel Call Prat. Acoustic Description of the Soundscape of a Real-Life Intensive Farm and Its Impact on Animal Welfare: A Preliminary Analysis of Farm Sounds and Bird Vocalisations. Sensors 2020, 20, 4732 .

AMA Style

Gerardo José Ginovart-Panisello, Rosa Ma Alsina-Pagès, Ignasi Iriondo Sanz, Tesa Panisello Monjo, Marcel Call Prat. Acoustic Description of the Soundscape of a Real-Life Intensive Farm and Its Impact on Animal Welfare: A Preliminary Analysis of Farm Sounds and Bird Vocalisations. Sensors. 2020; 20 (17):4732.

Chicago/Turabian Style

Gerardo José Ginovart-Panisello; Rosa Ma Alsina-Pagès; Ignasi Iriondo Sanz; Tesa Panisello Monjo; Marcel Call Prat. 2020. "Acoustic Description of the Soundscape of a Real-Life Intensive Farm and Its Impact on Animal Welfare: A Preliminary Analysis of Farm Sounds and Bird Vocalisations." Sensors 20, no. 17: 4732.

Journal article
Published: 21 March 2019 in Computers in Human Behavior
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This work describes the design, implementation and evaluation of a multi-subject learning experience based on the principles of Constructionism, in which the construction of a videogame is the learning artifact that engages students in four different technical and management subjects included in the ICT engineering degree curricula of the School of Engineering at La Salle – Universitat Ramon Lull. Working in groups in a simulated corporate scenario, students learnt the basics of emergent technologies such as 3D audio, computer vision or speech recognition, while developing soft skills like negotiation or work planning. As regards the evaluation of the academic results, the proposed methodology made attendance rate rise from around 50% to over 90%, and average pass rate from 72% to 93%. Moreover, to capture their short and long-term view of the learning experience, students answered two opinion surveys along time: the first on completion of the project, and a second one 3–5 years after completing their graduate studies, with all of them integrated in the labor market. The analysis of these surveys reveals that over 85% of students showed a high degree of satisfaction, and an overwhelming preference for the new methodology over classic learning methodologies.

ACS Style

Ignasi Iriondo; José A. Montero; Xavier Sevillano; Joan C. Socoró. Developing a videogame for learning signal processing and project management using project-oriented learning in ICT engineering degrees. Computers in Human Behavior 2019, 99, 381 -395.

AMA Style

Ignasi Iriondo, José A. Montero, Xavier Sevillano, Joan C. Socoró. Developing a videogame for learning signal processing and project management using project-oriented learning in ICT engineering degrees. Computers in Human Behavior. 2019; 99 ():381-395.

Chicago/Turabian Style

Ignasi Iriondo; José A. Montero; Xavier Sevillano; Joan C. Socoró. 2019. "Developing a videogame for learning signal processing and project management using project-oriented learning in ICT engineering degrees." Computers in Human Behavior 99, no. : 381-395.

Research article
Published: 22 January 2014 in The Scientific World Journal
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This paper presents the perceptual experiments that were carried out in order to validate the methodology of transforming expressive speech styles using voice quality (VoQ) parameters modelling, along with the well-known prosody (F 0, duration, and energy), from a neutral style into a number of expressive ones. The main goal was to validate the usefulness of VoQ in the enhancement of expressive synthetic speech in terms of speech quality and style identification. A harmonic plus noise model (HNM) was used to modify VoQ and prosodic parameters that were extracted from an expressive speech corpus. Perception test results indicated the improvement of obtained expressive speech styles using VoQ modelling along with prosodic characteristics.

ACS Style

Carlos Monzó; Ignasi Iriondo; Joan Claudi Socoro. Voice Quality Modelling for Expressive Speech Synthesis. The Scientific World Journal 2014, 2014, 1 -12.

AMA Style

Carlos Monzó, Ignasi Iriondo, Joan Claudi Socoro. Voice Quality Modelling for Expressive Speech Synthesis. The Scientific World Journal. 2014; 2014 (4):1-12.

Chicago/Turabian Style

Carlos Monzó; Ignasi Iriondo; Joan Claudi Socoro. 2014. "Voice Quality Modelling for Expressive Speech Synthesis." The Scientific World Journal 2014, no. 4: 1-12.

Journal article
Published: 10 August 2012 in Cognitive Computation
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The aim of this article is to classify children’s affective states in a real-life non-prototypical emotion recognition scenario. The framework is the same as that proposed in the Interspeech 2009 Emotion Challenge. We used a large set of acoustic features and five linguistic parameters based on the concept of emotional salience. Features were extracted from the spontaneous speech recordings of the FAU Aibo Corpus and their transcriptions. We used a wrapper method to reduce the acoustic set of features from 384 to 28 elements and feature-level fusion to merge them with the set of linguistic parameters. We studied three classification approaches: a Naïve-Bayes classifier, a support vector machine and a logistic model tree. Results show that the linguistic features improve the performances of the classifiers that use only acoustic datasets. Additionally, merging the linguistic features with the reduced acoustic set is more effective than working with the full dataset. The best classifier performance is achieved with the logistic model tree and the reduced set of acoustic and linguistic features, which improves the performance obtained with the full dataset by 4.15 % absolute (10.14 % relative) and improves the performance of the Naïve-Bayes classifier by 9.91 % absolute (28.18 % relative). For the same conditions proposed in the Emotion Challenge, this simple scheme slightly improves a much more complex structure involving seven classifiers and a larger number of features.

ACS Style

Santiago Planet; Ignasi Iriondo. Children’s Emotion Recognition from Spontaneous Speech Using a Reduced Set of Acoustic and Linguistic Features. Cognitive Computation 2012, 5, 526 -532.

AMA Style

Santiago Planet, Ignasi Iriondo. Children’s Emotion Recognition from Spontaneous Speech Using a Reduced Set of Acoustic and Linguistic Features. Cognitive Computation. 2012; 5 (4):526-532.

Chicago/Turabian Style

Santiago Planet; Ignasi Iriondo. 2012. "Children’s Emotion Recognition from Spontaneous Speech Using a Reduced Set of Acoustic and Linguistic Features." Cognitive Computation 5, no. 4: 526-532.

Journal article
Published: 01 January 2012 in International Journal of Interactive Multimedia and Artificial Intelligence
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ACS Style

Santiago Planet; Ignasi Iriondo. Comparative Study on Feature Selection and Fusion Schemes for Emotion Recognition from Speech. International Journal of Interactive Multimedia and Artificial Intelligence 2012, 1, 44 .

AMA Style

Santiago Planet, Ignasi Iriondo. Comparative Study on Feature Selection and Fusion Schemes for Emotion Recognition from Speech. International Journal of Interactive Multimedia and Artificial Intelligence. 2012; 1 (6):44.

Chicago/Turabian Style

Santiago Planet; Ignasi Iriondo. 2012. "Comparative Study on Feature Selection and Fusion Schemes for Emotion Recognition from Speech." International Journal of Interactive Multimedia and Artificial Intelligence 1, no. 6: 44.

Chapter
Published: 24 May 2011 in Encyclopedia of Artificial Intelligence
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The use of speech in human-machine interaction is increasing as the computer interfaces are becoming more complex but also more useable. These interfaces make use of the information obtained from the user through the analysis of different modalities and show a specific answer by means of different media. The origin of the multimodal systems can be found in its precursor, the “Put-That-There” system (Bolt, 1980), an application operated by speech and gesture recognition. The use of speech as one of these modalities to get orders from users and to provide some oral information makes the human-machine communication more natural. There is a growing number of applications that use speech-to-text conversion and animated characters with speech synthesis. One way to improve the naturalness of these interfaces is the incorporation of the recognition of user’s emotional states (Campbell, 2000). This point generally requires the creation of speech databases showing authentic emotional content allowing robust analysis. Cowie, Douglas-Cowie & Cox (2005) present some databases showing an increase in multimodal databases, and Ververidis & Kotropoulos (2006) describe 64 databases and their application. When creating this kind of databases the main arising problem is the naturalness of the locutions, which directly depends on the method used in the recordings, assuming that they must be controlled without interfering the authenticity of the locutions. Campbell (2000) and Schröder (2004) propose four different sources for obtaining emotional speech, ordered from less control but more authenticity to more control but less authenticity: i) natural occurrences, ii) provocation of authentic emotions in laboratory conditions, iii) stimulated emotions by means of prepared texts, and iv) acted speech reading the same texts with different emotional states, usually performed by actors. On the one hand, corpora designed to synthesize emotional speech are based on studies centred on the listener, following the distinction made by Schröder (2004), because they model the speech parameters in order to transmit a specific emotion. On the other hand, emotion recognition implies studies centred on the speaker, because they are related to the speaker emotional state and the parameters of the speech. The validation of a corpus used for synthesis involves both kinds of studies: the former since it will be used for synthesis and the latter since recognition is needed to evaluate its content. The best validation system is the selection of the valid utterances1 of the corpus by human listeners. However, the big size of a corpus makes this process unaffordable.

ACS Style

Ignasi Iriondo; Santiago Planet; Francesc Alías; Joan-Claudi Socoró; Elisa Martinez. Emulating Subjective Criteria in Corpus Validation. Encyclopedia of Artificial Intelligence 2011, 541 -546.

AMA Style

Ignasi Iriondo, Santiago Planet, Francesc Alías, Joan-Claudi Socoró, Elisa Martinez. Emulating Subjective Criteria in Corpus Validation. Encyclopedia of Artificial Intelligence. 2011; ():541-546.

Chicago/Turabian Style

Ignasi Iriondo; Santiago Planet; Francesc Alías; Joan-Claudi Socoró; Elisa Martinez. 2011. "Emulating Subjective Criteria in Corpus Validation." Encyclopedia of Artificial Intelligence , no. : 541-546.

Chapter
Published: 18 January 2011 in Encyclopedia of Artificial Intelligence
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ACS Style

Ignasi Iriondo; Santiago Planet; Francesc Alías; Joan-Claudi Socoró; Elisa Martínez. Emulating Subjective Criteria in Corpus Validation. Encyclopedia of Artificial Intelligence 2011, 541 -546.

AMA Style

Ignasi Iriondo, Santiago Planet, Francesc Alías, Joan-Claudi Socoró, Elisa Martínez. Emulating Subjective Criteria in Corpus Validation. Encyclopedia of Artificial Intelligence. 2011; ():541-546.

Chicago/Turabian Style

Ignasi Iriondo; Santiago Planet; Francesc Alías; Joan-Claudi Socoró; Elisa Martínez. 2011. "Emulating Subjective Criteria in Corpus Validation." Encyclopedia of Artificial Intelligence , no. : 541-546.

Conference paper
Published: 01 January 2011 in Transactions on Petri Nets and Other Models of Concurrency XV
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This paper presents an approach to improve emotion recognition from spontaneous speech. We used a wrapper method to reduce an acoustic set of features and feature-level fusion to merge them with a set of linguistic ones. The proposed system was evaluated with the FAU Aibo Corpus. We considered the same emotion set that was proposed in the Interspeech 2009 Emotion Challenge. The main contribution of this work is the improvement, with the reduced set of features, of the results obtained in this Challenge and the combination of the best ones. We built this set with a selection of 28 acoustic and 5 linguistic features and concatenation of the feature vectors from an original set of 389 parameters.

ACS Style

Santiago Planet; Ignasi Iriondo. Improving Spontaneous Children’s Emotion Recognition by Acoustic Feature Selection and Feature-Level Fusion of Acoustic and Linguistic Parameters. Transactions on Petri Nets and Other Models of Concurrency XV 2011, 7015, 88 -95.

AMA Style

Santiago Planet, Ignasi Iriondo. Improving Spontaneous Children’s Emotion Recognition by Acoustic Feature Selection and Feature-Level Fusion of Acoustic and Linguistic Parameters. Transactions on Petri Nets and Other Models of Concurrency XV. 2011; 7015 ():88-95.

Chicago/Turabian Style

Santiago Planet; Ignasi Iriondo. 2011. "Improving Spontaneous Children’s Emotion Recognition by Acoustic Feature Selection and Feature-Level Fusion of Acoustic and Linguistic Parameters." Transactions on Petri Nets and Other Models of Concurrency XV 7015, no. : 88-95.

Conference paper
Published: 01 January 2010 in Computer Vision
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This paper describes a high-quality Spanish HMM-based speech synthesis of emotional speaking styles. The quality of the HMM-based speech synthesis is enhanced by using the most recent features presented for the Blizzard system (i.e. STRAIGHT spectrum extraction and mixed excitation). Two techniques are evaluated. First, a method simultaneously model all emotions within a single acoustic model. Second, an adaptation techniques to convert a neutral emotional style to a target emotion. We consider 3 kinds of emotions expressions: neutral, happy and sad. A subjective evaluation will show the quality of the system and the intensity of the produced emotion while an objective evaluation based on voice quality parameters evaluates the effectiveness of the approaches.

ACS Style

Xavi Gonzalvo; Paul Taylor; Carlos Monzo; Ignasi Iriondo; Joan Claudi Socoró. High Quality Emotional HMM-Based Synthesis in Spanish. Computer Vision 2010, 5933, 26 -34.

AMA Style

Xavi Gonzalvo, Paul Taylor, Carlos Monzo, Ignasi Iriondo, Joan Claudi Socoró. High Quality Emotional HMM-Based Synthesis in Spanish. Computer Vision. 2010; 5933 ():26-34.

Chicago/Turabian Style

Xavi Gonzalvo; Paul Taylor; Carlos Monzo; Ignasi Iriondo; Joan Claudi Socoró. 2010. "High Quality Emotional HMM-Based Synthesis in Spanish." Computer Vision 5933, no. : 26-34.

Journal article
Published: 01 September 2009 in Speech Communication
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ACS Style

Ignasi Iriondo; Santiago Planet; Joan Claudi Socoró; Elisa Martínez; Francesc Alías; Carlos Monzo. Automatic refinement of an expressive speech corpus assembling subjective perception and automatic classification. Speech Communication 2009, 51, 744 -758.

AMA Style

Ignasi Iriondo, Santiago Planet, Joan Claudi Socoró, Elisa Martínez, Francesc Alías, Carlos Monzo. Automatic refinement of an expressive speech corpus assembling subjective perception and automatic classification. Speech Communication. 2009; 51 (9):744-758.

Chicago/Turabian Style

Ignasi Iriondo; Santiago Planet; Joan Claudi Socoró; Elisa Martínez; Francesc Alías; Carlos Monzo. 2009. "Automatic refinement of an expressive speech corpus assembling subjective perception and automatic classification." Speech Communication 51, no. 9: 744-758.

Proceedings article
Published: 01 June 2008 in 2008 IEEE Intelligent Vehicles Symposium
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An artificial vision system for vehicles is proposed in this article to alert drivers of potential head on collisions. It is capable of detecting any type of frontal collision from any type of obstacle that may present itself in a vehiclepsilas path. The system operates based on a sequence of algorithms whose images are recorded on a camera located in the moving vehicle, resulting in the calculation of Time-to-Contact taken from an analysis of the optical flow, which allows the vehiclepsilas movement to be studied from a sequence of images.

ACS Style

Elisa Martinez; Marta Díaz; Javier Melenchon; Josh A. Montero; Ignasi Iriondo; Joan Claudi Socoro; José Antonio Montero. Driving assistance system based on the detection of head-on collisions. 2008 IEEE Intelligent Vehicles Symposium 2008, 913 -918.

AMA Style

Elisa Martinez, Marta Díaz, Javier Melenchon, Josh A. Montero, Ignasi Iriondo, Joan Claudi Socoro, José Antonio Montero. Driving assistance system based on the detection of head-on collisions. 2008 IEEE Intelligent Vehicles Symposium. 2008; ():913-918.

Chicago/Turabian Style

Elisa Martinez; Marta Díaz; Javier Melenchon; Josh A. Montero; Ignasi Iriondo; Joan Claudi Socoro; José Antonio Montero. 2008. "Driving assistance system based on the detection of head-on collisions." 2008 IEEE Intelligent Vehicles Symposium , no. : 913-918.

Conference paper
Published: 06 December 2007 in Computer Vision
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ACS Style

Ignasi Iriondo; Santiago Planet; Joan Claudi Socoró; Francesc Alías. Objective and Subjective Evaluation of an Expressive Speech Corpus. Computer Vision 2007, 86 -94.

AMA Style

Ignasi Iriondo, Santiago Planet, Joan Claudi Socoró, Francesc Alías. Objective and Subjective Evaluation of an Expressive Speech Corpus. Computer Vision. 2007; ():86-94.

Chicago/Turabian Style

Ignasi Iriondo; Santiago Planet; Joan Claudi Socoró; Francesc Alías. 2007. "Objective and Subjective Evaluation of an Expressive Speech Corpus." Computer Vision , no. : 86-94.

Conference paper
Published: 06 December 2007 in Computer Vision
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Hidden Markov Models based text-to-speech (HMM-TTS) synthesis is a technique for generating speech from trained statistical models where spectrum, pitch and durations of basic speech units are modelled altogether. The aim of this work is to describe a Spanish HMM-TTS system using an external machine learning technique to help improving the expressiveness. System performance is analysed objectively and subjectively. The experiments were conducted on a reliably labelled speech corpus, whose units were clustered using contextual factors based on the Spanish language. The results show that the CBR-based F0 estimation is capable of improving the HMM-based baseline performance when synthesizing non-declarative short sentences while the durations accuracy is similar with the CBR or the HMM system.

ACS Style

Xavi Gonzalvo; Ignasi Iriondo; Joan Claudi Socoró; Francesc Alías; Carlos Monzo. Mixing HMM-Based Spanish Speech Synthesis with a CBR for Prosody Estimation. Computer Vision 2007, 78 -85.

AMA Style

Xavi Gonzalvo, Ignasi Iriondo, Joan Claudi Socoró, Francesc Alías, Carlos Monzo. Mixing HMM-Based Spanish Speech Synthesis with a CBR for Prosody Estimation. Computer Vision. 2007; ():78-85.

Chicago/Turabian Style

Xavi Gonzalvo; Ignasi Iriondo; Joan Claudi Socoró; Francesc Alías; Carlos Monzo. 2007. "Mixing HMM-Based Spanish Speech Synthesis with a CBR for Prosody Estimation." Computer Vision , no. : 78-85.

Conference paper
Published: 20 September 2007 in Computer Vision
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ACS Style

José Antonio Montero; Francesc Alías; Carles Garriga; Lluís Vicent; Ignasi Iriondo. Assessing Students’ Teamwork Performance by Means of Fuzzy Logic. Computer Vision 2007, 383 -390.

AMA Style

José Antonio Montero, Francesc Alías, Carles Garriga, Lluís Vicent, Ignasi Iriondo. Assessing Students’ Teamwork Performance by Means of Fuzzy Logic. Computer Vision. 2007; ():383-390.

Chicago/Turabian Style

José Antonio Montero; Francesc Alías; Carles Garriga; Lluís Vicent; Ignasi Iriondo. 2007. "Assessing Students’ Teamwork Performance by Means of Fuzzy Logic." Computer Vision , no. : 383-390.

Conference paper
Published: 20 September 2007 in Computer Vision
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ACS Style

Ignasi Iriondo; Santiago Planet; Francesc Alías; Joan Claudi Socoró; Elisa Martínez. Validation of an Expressive Speech Corpus by Mapping Automatic Classification to Subjective Evaluation. Computer Vision 2007, 646 -653.

AMA Style

Ignasi Iriondo, Santiago Planet, Francesc Alías, Joan Claudi Socoró, Elisa Martínez. Validation of an Expressive Speech Corpus by Mapping Automatic Classification to Subjective Evaluation. Computer Vision. 2007; ():646-653.

Chicago/Turabian Style

Ignasi Iriondo; Santiago Planet; Francesc Alías; Joan Claudi Socoró; Elisa Martínez. 2007. "Validation of an Expressive Speech Corpus by Mapping Automatic Classification to Subjective Evaluation." Computer Vision , no. : 646-653.

Conference paper
Published: 01 January 2007 in 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07
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This paper presents the use of analogical learning, in particular case-based reasoning, for the automatic generation of prosody from text, which is automatically tagged with prosodic features. This is a corpus-based method for quantitative modelling of prosody to be used in a Spanish text to speech system. The main objective is the development of a method for predicting the three main prosodic parameters: the fundamental frequency (F0) contour, the segmental duration and energy. Both objective and subjective experiments have been conducted in order to evaluate the accuracy of our proposal.

ACS Style

Ignasi Iriondo; Joan Claudi Socoro; Francesc Alías. Prosody Modelling of Spanish for Expressive Speech Synthesis. 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07 2007, 4, IV-821 -IV-824.

AMA Style

Ignasi Iriondo, Joan Claudi Socoro, Francesc Alías. Prosody Modelling of Spanish for Expressive Speech Synthesis. 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07. 2007; 4 ():IV-821-IV-824.

Chicago/Turabian Style

Ignasi Iriondo; Joan Claudi Socoro; Francesc Alías. 2007. "Prosody Modelling of Spanish for Expressive Speech Synthesis." 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07 4, no. : IV-821-IV-824.

Conference paper
Published: 30 November 2004 in Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795)
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ACS Style

Javier Melenchón; Ignasi Iriondo; J. Claudi Socoró; E. Matinez; Lourdes Meler. Lip animation of a personalized facial model from auditory speech. Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795) 2004, 1 .

AMA Style

Javier Melenchón, Ignasi Iriondo, J. Claudi Socoró, E. Matinez, Lourdes Meler. Lip animation of a personalized facial model from auditory speech. Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795). 2004; ():1.

Chicago/Turabian Style

Javier Melenchón; Ignasi Iriondo; J. Claudi Socoró; E. Matinez; Lourdes Meler. 2004. "Lip animation of a personalized facial model from auditory speech." Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795) , no. : 1.