DE eng

Search in the Catalogues and Directories

Page: 1 2 3 4 5...46
Hits 1 – 20 of 906

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)
BASE
Show details
3
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
4
A comparative study of several parameterizations for speaker recognition ...
Faundez-Zanuy, Marcos. - : arXiv, 2022
BASE
Show details
5
Speaker verification in mismatch training and testing conditions ...
BASE
Show details
6
Speech Segmentation Optimization using Segmented Bilingual Speech Corpus for End-to-end Speech Translation ...
BASE
Show details
7
A New Amharic Speech Emotion Dataset and Classification Benchmark ...
Abstract: In this paper we present the Amharic Speech Emotion Dataset (ASED), which covers four dialects (Gojjam, Wollo, Shewa and Gonder) and five different emotions (neutral, fearful, happy, sad and angry). We believe it is the first Speech Emotion Recognition (SER) dataset for the Amharic language. 65 volunteer participants, all native speakers, recorded 2,474 sound samples, two to four seconds in length. Eight judges assigned emotions to the samples with high agreement level (Fleiss kappa = 0.8). The resulting dataset is freely available for download. Next, we developed a four-layer variant of the well-known VGG model which we call VGGb. Three experiments were then carried out using VGGb for SER, using ASED. First, we investigated whether Mel-spectrogram features or Mel-frequency Cepstral coefficient (MFCC) features work best for Amharic. This was done by training two VGGb SER models on ASED, one using Mel-spectrograms and the other using MFCC. Four forms of training were tried, standard cross-validation, and ... : 16 pages, 12 tables, 6 figures ...
Keyword: Audio and Speech Processing eess.AS; Computation and Language cs.CL; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering; I.2.7; Sound cs.SD
URL: https://dx.doi.org/10.48550/arxiv.2201.02710
https://arxiv.org/abs/2201.02710
BASE
Hide details
8
The Norwegian Parliamentary Speech Corpus ...
Solberg, Per Erik; Ortiz, Pablo. - : arXiv, 2022
BASE
Show details
9
Subspace-based Representation and Learning for Phonotactic Spoken Language Recognition ...
BASE
Show details
10
LPC Augment: An LPC-Based ASR Data Augmentation Algorithm for Low and Zero-Resource Children's Dialects ...
BASE
Show details
11
Automatic Dialect Density Estimation for African American English ...
BASE
Show details
12
End-to-end contextual asr based on posterior distribution adaptation for hybrid ctc/attention system ...
Zhang, Zhengyi; Zhou, Pan. - : arXiv, 2022
BASE
Show details
13
Towards Contextual Spelling Correction for Customization of End-to-end Speech Recognition Systems ...
BASE
Show details
14
SHAS: Approaching optimal Segmentation for End-to-End Speech Translation ...
BASE
Show details
15
Automatic Detection of Speech Sound Disorder in Child Speech Using Posterior-based Speaker Representations ...
BASE
Show details
16
Towards a Perceptual Model for Estimating the Quality of Visual Speech ...
BASE
Show details
17
Learning and controlling the source-filter representation of speech with a variational autoencoder ...
BASE
Show details
18
Repeat after me: Self-supervised learning of acoustic-to-articulatory mapping by vocal imitation ...
BASE
Show details
19
Can Social Robots Effectively Elicit Curiosity in STEM Topics from K-1 Students During Oral Assessments? ...
BASE
Show details
20
Expression-preserving face frontalization improves visually assisted speech processing ...
BASE
Show details

Page: 1 2 3 4 5...46

Catalogues
0
0
0
0
0
0
0
Bibliographies
0
0
0
0
0
0
0
0
0
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
906
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern