1 |
Emotional Speech Recognition Using Deep Neural Networks
|
|
|
|
In: ISSN: 1424-8220 ; Sensors ; https://hal.archives-ouvertes.fr/hal-03632853 ; Sensors, MDPI, 2022, 22 (4), pp.1414. ⟨10.3390/s22041414⟩ (2022)
|
|
BASE
|
|
Show details
|
|
2 |
Reconnaissance de la parole continue à grand vocabulaire en vietnamien, une langue syllabique tonale
|
|
|
|
In: Les Journées d’Etude sur la Parole (JEP) ; https://hal.archives-ouvertes.fr/hal-01314293 ; Les Journées d’Etude sur la Parole (JEP), Jun 2008, Avignon, France (2008)
|
|
BASE
|
|
Show details
|
|
4 |
Linear F0 Contour Model For Vietnamese Tones And Vietnamese Syllable Synthesis With TD-PSOLA
|
|
|
|
In: http://mrim.imag.fr/publications/2006/XUA06/TAL2006SubmissionUpdate.pdf
|
|
Abstract:
Understanding and managing tonal characteristics of Vietnamese language is one of the most difficult aspects in Vietnamese speech processing. Our newest results indicate that, the initial consonant of one Vietnamese syllable does not carry information of the tone, the Vietnamese tone has an effect only on the Final part of the syllable. Based on obtained results, this article proposes linear F0 contour models for the Vietnamese tones generation. These models only describe the F0 evolution of a final part of the Vietnamese syllable, and they are evaluated through perception tests. 1.
|
|
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.492.5987 http://mrim.imag.fr/publications/2006/XUA06/TAL2006SubmissionUpdate.pdf
|
|
BASE
|
|
Hide details
|
|
|
|