1 |
A Bottleneck Auto-Encoder for F0 Transformations on Speech and Singing Voice
|
|
|
|
In: ISSN: 2078-2489 ; Information ; https://hal.archives-ouvertes.fr/hal-03599085 ; Information, MDPI, 2022, 13 (3), pp.102. ⟨10.3390/info13030102⟩ (2022)
|
|
BASE
|
|
Show details
|
|
2 |
Neural Vocoding for Singing and Speaking Voices with the Multi-Band Excited WaveNet
|
|
|
|
In: ISSN: 2078-2489 ; Information ; https://hal.archives-ouvertes.fr/hal-03599076 ; Information, MDPI, 2022, 13 (3), pp.103. ⟨10.3390/info13030103⟩ (2022)
|
|
Abstract:
International audience ; The use of the mel spectrogram as a signal parameterization for voice generation is quite recent and linked to the development of neural vocoders. These are deep neural networks that allow reconstructing high-quality speech from a given mel spectrogram. While initially developed for speech synthesis, now neural vocoders have also been studied in the context of voice attribute manipulation, opening new means for voice processing in audio production. However, to be able to apply neural vocoders in real-world applications, two problems need to be addressed: (1) To support use in professional audio workstations, the computational complexity should be small, (2) the vocoder needs to support a large variety of speakers, differences in voice qualities, and a wide range of intensities potentially encountered during audio production. In this context, the present study will provide a detailed description of the Multi-band Excited WaveNet, a fully convolutional neural vocoder built around signal processing blocks. It will evaluate the performance of the vocoder when trained on a variety of multi-speaker and multi-singer databases, including an experimental evaluation of the neural vocoder trained on speech and singing voices. Addressing the problem of intensity variation, the study will introduce a new adaptive signal normalization scheme that allows for robust compensation for dynamic and static gain variations. Evaluations are performed using objective measures and a number of perceptual tests including different neural vocoder algorithms known from the literature. The results confirm that the proposed vocoder compares favorably to the state-of-the-art in its capacity to generalize to unseen voices and voice qualities. The remaining challenges will be discussed.
|
|
Keyword:
[INFO.INFO-SD]Computer Science [cs]/Sound [cs.SD]; [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
|
|
URL: https://doi.org/10.3390/info13030103 https://hal.archives-ouvertes.fr/hal-03599076
|
|
BASE
|
|
Hide details
|
|
3 |
Évaluation de la perception des sons de parole chez les populations pédiatriques : réflexion sur les épreuves existantes
|
|
|
|
In: ISSN: 0298-6477 ; EISSN: 2117-7155 ; Glossa ; https://hal.archives-ouvertes.fr/hal-03646757 ; Glossa, UNADREO - Union NAtionale pour le Développement de la Recherche en Orthophonie, 2022, 132, pp.1-27 ; https://www.glossa.fr/index.php/glossa/article/view/1043 (2022)
|
|
BASE
|
|
Show details
|
|
4 |
Learning and controlling the source-filter representation of speech with a variational autoencoder
|
|
|
|
In: https://hal.archives-ouvertes.fr/hal-03650569 ; 2022 (2022)
|
|
BASE
|
|
Show details
|
|
5 |
Domestic Ubimus
|
|
|
|
In: EISSN: 2409-9708 ; EAI Endorsed Transactions on Creative Technologies ; https://hal-hprints.archives-ouvertes.fr/hprints-03602695 ; EAI Endorsed Transactions on Creative Technologies, EAI - European Alliance for Innovation, 2022, ⟨10.4108/eai.22-2-2022.173493⟩ (2022)
|
|
BASE
|
|
Show details
|
|
6 |
A comparative study of several parameterizations for speaker recognition ...
|
|
|
|
BASE
|
|
Show details
|
|
7 |
Speaker verification in mismatch training and testing conditions ...
|
|
|
|
BASE
|
|
Show details
|
|
8 |
Speech Segmentation Optimization using Segmented Bilingual Speech Corpus for End-to-end Speech Translation ...
|
|
|
|
BASE
|
|
Show details
|
|
9 |
A New Amharic Speech Emotion Dataset and Classification Benchmark ...
|
|
|
|
BASE
|
|
Show details
|
|
11 |
Subspace-based Representation and Learning for Phonotactic Spoken Language Recognition ...
|
|
|
|
BASE
|
|
Show details
|
|
12 |
LPC Augment: An LPC-Based ASR Data Augmentation Algorithm for Low and Zero-Resource Children's Dialects ...
|
|
|
|
BASE
|
|
Show details
|
|
13 |
Automatic Dialect Density Estimation for African American English ...
|
|
|
|
BASE
|
|
Show details
|
|
15 |
Variation in Spanish/s: Overview and New Perspectives
|
|
|
|
In: World Languages and Literatures Faculty Publications and Presentations (2022)
|
|
BASE
|
|
Show details
|
|
16 |
End-to-end contextual asr based on posterior distribution adaptation for hybrid ctc/attention system ...
|
|
|
|
BASE
|
|
Show details
|
|
17 |
Towards Contextual Spelling Correction for Customization of End-to-end Speech Recognition Systems ...
|
|
|
|
BASE
|
|
Show details
|
|
18 |
SHAS: Approaching optimal Segmentation for End-to-End Speech Translation ...
|
|
|
|
BASE
|
|
Show details
|
|
19 |
Automatic Detection of Speech Sound Disorder in Child Speech Using Posterior-based Speaker Representations ...
|
|
|
|
BASE
|
|
Show details
|
|
20 |
Towards a Perceptual Model for Estimating the Quality of Visual Speech ...
|
|
|
|
BASE
|
|
Show details
|
|
|
|