Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Lucas D. Terissi"'
Autor:
Alicia Figueroa-Barra, Daniel Del Aguila, Mauricio Cerda, Pablo A. Gaspar, Lucas D. Terissi, Manuel Durán, Camila Valderrama
Publikováno v:
npj Schizophrenia, Vol 8, Iss 1, Pp 1-8 (2022)
Abstract Automated language analysis of speech has been shown to distinguish healthy control (HC) vs chronic schizophrenia (SZ) groups, yet the predictive power on first-episode psychosis patients (FEP) and the generalization to non-English speakers
Externí odkaz:
https://doaj.org/article/439396f2e7664cc1af777ec936549059
Publikováno v:
International Journal of Speech Technology. 25:231-249
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::388665167c65474629b670cfe8d71f88
https://doi.org/10.1007/s10772-021-09944-7
https://doi.org/10.1007/s10772-021-09944-7
Publikováno v:
International Journal of Speech Technology. 21:293-307
This paper proposes a robust front-end for speech classification which can be employed with acoustic, visual or audio–visual information, indistinctly. Wavelet multiresolution analysis is employed to represent temporal input data associated with sp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::efa83adc0de6e31b331ca4bb9d5efddf
https://doi.org/10.1007/s10772-018-9504-y
https://doi.org/10.1007/s10772-018-9504-y
A novel scheme for disambiguating conflicting classification results in audio-visual speech recognition (AVSR) applications is proposed in this chapter. The strategy can be implemented with generative and discriminative models. It can be employed wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46a4fb98413d0b9f8891159c422bcf10
https://doi.org/10.1016/b978-0-12-818130-0.00004-0
https://doi.org/10.1016/b978-0-12-818130-0.00004-0
Autor:
Rajesh Kumar Aggarwal, Mazid Alam, David Brown, Himanish Shekhar Das, Anilesh Dey, Smita Dey, Juan C. Gómez, Dharm Singh Jat, S. Jothilakshmi, Biswajit Karan, Anton Sokamato Limbo, Kartik Mahto, Rajesh Kumar Muthu, A. NithyaKalyani, Vishal Passricha, Pinki Roy, Gonzalo D. Sad, Sajal Saha, Sitanshu Sekhar Sahu, K.C. Santosh, Sudhangshu Sarkar, Charu Singh, Lucas D. Terissi, Maarten Venter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15b3d8a4511b1f602ddc1c6bcdd19470
https://doi.org/10.1016/b978-0-12-818130-0.09990-6
https://doi.org/10.1016/b978-0-12-818130-0.09990-6
Autor:
Lucas D. Terissi, M. Moya, A. Chavarini, M.T. Garibay, L. Neumann, L. Soria, L. Bertinat, R. Marcuzzi, A. Massetti, Juan Carlos Gómez
Publikováno v:
2018 World Engineering Education Forum - Global Engineering Deans Council (WEEF-GEDC).
Traditional engineering education has been successful until the end of the 20th century. However, the fundamental technological changes of the past decade pose us the question whether this traditional education approach meets the needs of the 21st. c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8cc9bf685933a8edd0cbd435ab7672b
https://doi.org/10.1109/weef-gedc.2018.8629716
https://doi.org/10.1109/weef-gedc.2018.8629716
Autor:
Bernard Girau, Mauricio Cerda, Juan Carlos Gómez, Lucas D. Terissi, Nancy Hitschfeld-Kahler, Rodrigo Galvez, Slim Ouni, Gonzalo D. Sad
Publikováno v:
Interspeech 2018-19th Annual Conference of the International Speech Communication Association
Interspeech 2018-19th Annual Conference of the International Speech Communication Association, Sep 2018, Hyderabad, India
INTERSPEECH
Interspeech 2018-19th Annual Conference of the International Speech Communication Association, Sep 2018, Hyderabad, India
INTERSPEECH
International audience; A Bilingual Multimodal Speech Communication Corpus incorporating acoustic data as well as visual data related to face, hands and arms gestures during speech, is presented in this paper. This corpus comprises different speaking
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e78a1dddb5a61705a8ca8d3dd83fe41
https://inria.hal.science/hal-01862585/file/2212_Paper.pdf
https://inria.hal.science/hal-01862585/file/2212_Paper.pdf
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783319751924
CIARP
CIARP
This paper presents an audio-visual speech classification system based on Random Forests classifiers, aiming to reduce the intra-class misclassification problems, which is a very usual situation, specially in speech recognition tasks. A novel trainin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07cb8bf2831b539f9ac36f3dbedc0390
https://doi.org/10.1007/978-3-319-75193-1_70
https://doi.org/10.1007/978-3-319-75193-1_70
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319148984
MPRSS
Marianela Parodi
MPRSS
Marianela Parodi
An isolated word speech recognition system based on audio-visual features is proposed in this paper. To enhance the recognition over different noisy conditions, this system combines three classifiers based on audio, visual and audio-visual informatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::747dc9d0fd716e91e69fef1643384e29
https://doi.org/10.1007/978-3-319-14899-1_5
https://doi.org/10.1007/978-3-319-14899-1_5
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783319257501
CIARP
CIARP
This paper describes an audio-visual speech recognition system based on wavelets and Random Forests. Wavelet multiresolution analysis is used to represent in a compact form the sequence of both acoustic and visual input parameters. Then, recognition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8fef0c5c1af07fcec36379b98ea94f1
https://doi.org/10.1007/978-3-319-25751-8_68
https://doi.org/10.1007/978-3-319-25751-8_68