1 |
Automated Assessment of Glottal Dysfunction Through Unified Acoustic Voice Analysis
|
|
|
|
In: ISSN: 0892-1997 ; Journal of Voice ; https://hal.archives-ouvertes.fr/hal-02987882 ; Journal of Voice, Elsevier, In press, ⟨10.1016/j.jvoice.2020.08.032⟩ (2021)
|
|
BASE
|
|
Show details
|
|
2 |
LSTM-TDNN with convolutional front-end for Dialect Identification in the 2019 Multi-Genre Broadcast Challenge ...
|
|
|
|
BASE
|
|
Show details
|
|
3 |
LID-senones and their statistics for language identification
|
|
|
|
BASE
|
|
Show details
|
|
4 |
Improvements on Deep Bottleneck Network based I-Vector Representation for Spoken Language Identification
|
|
|
|
BASE
|
|
Show details
|
|
5 |
Improved language identification using deep bottleneck network
|
|
|
|
BASE
|
|
Show details
|
|
6 |
Comparative whisper vowel space for Singapore English and British English accents
|
|
|
|
BASE
|
|
Show details
|
|
8 |
Deep Neural Network for Robust Speech Recognition With Auxiliary Features From Laser-Doppler Vibrometer Sensor
|
|
|
|
BASE
|
|
Show details
|
|
10 |
Deep Bottleneck Network based i-vector representation for Language Identification
|
|
|
|
BASE
|
|
Show details
|
|
12 |
Reconstruction of Phonated Speech from Whispers Using Formant-Derived Plausible Pitch Modulation
|
|
|
|
BASE
|
|
Show details
|
|
13 |
Deep Bottleneck Features for Spoken Language Identification
|
|
|
|
BASE
|
|
Show details
|
|
15 |
Whisper-to-speech conversion using restricted Boltzmann machine arrays
|
|
|
|
BASE
|
|
Show details
|
|
16 |
Reconstruction of pitch for whisper-to-speech conversion of Chinese
|
|
|
|
BASE
|
|
Show details
|
|
18 |
Deep bottleneck features for spoken language identification
|
|
|
|
BASE
|
|
Show details
|
|
|
|