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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5...89 Hits 1 – 20 of 1.765 1 RETRIEVING SPEAKER INFORMATION FROM PERSONALIZED ACOUSTIC MODELS FOR SPEECH RECOGNITION Mdhaffar, Salima; Bonastre, Jean-François; Tommasi, Marc... In: IEEE ICASSP 2022 ; https://hal.archives-ouvertes.fr/hal-03539741 ; IEEE ICASSP 2022, 2022, Singapour, Singapore (2022) BASE Show details 2 Hippocampal and auditory contributions to speech segmentation Ramos-Escobar, Neus; Mercier, Manuel; Trébuchon-Fonséca, Agnès... In: ISSN: 0010-9452 ; Cortex ; https://hal.archives-ouvertes.fr/hal-03604957 ; Cortex, Elsevier, 2022, ⟨10.1016/j.cortex.2022.01.017⟩ (2022) BASE Show details 3 Cross-lingual few-shot hate speech and offensive language detection using meta learning Mozafari, Marzieh; Farahbakhsh, Reza; Crespi, Noel In: ISSN: 2169-3536 ; EISSN: 2169-3536 ; IEEE Access ; https://hal.archives-ouvertes.fr/hal-03559484 ; IEEE Access, IEEE, 2022, 10, pp.14880-14896. ⟨10.1109/ACCESS.2022.3147588⟩ (2022) BASE Show details 4 МОНОЛОГИЧЕСКАЯ РЕЧЬ С ТОЧКИ ЗРЕНИЯ УЧЁНЫХ ... : MONOLOGICAL SPEECH FROM THE POINT OF VIEW OF SCIENTISTS ... Н. И. Шадманова. - : Academic research in educational sciences, 2022 BASE Show details 5 A comparative study of several parameterizations for speaker recognition ... Faundez-Zanuy, Marcos. - : arXiv, 2022 BASE Show details 6 Subspace-based Representation and Learning for Phonotactic Spoken Language Recognition ... Lee, Hung-Shin; Tsao, Yu; Jeng, Shyh-Kang. - : arXiv, 2022 BASE Show details 7 REYD Yiddish TTS Corpus ... Unkn Unknown. - : Centre for Speech Technology Research (CSTR), 2022 BASE Show details 8 Data From: A Protracted Developmental Trajectory for English-Learning Children’s Detection of Consonant Mispronunciations in Newly Learned Words Quam, Carolyn; Swingley, Daniel In: Speech and Hearing Sciences Faculty Datasets (2022) BASE Show details 9 Intoxication and pitch control in tonal and non-tonal language speakers ... Chang, Charles. - : Open Science Framework, 2022 BASE Show details 10 Materials for Tang et al. (2022) ... Chang, Charles. - : Open Science Framework, 2022 BASE Show details 11 Dataset for Tang et al. (2022) ... Chang, Charles. - : Open Science Framework, 2022 BASE Show details 12 COLORINCO ... , Caudrelier. - : Open Science Framework, 2022 BASE Show details 13 Learning and controlling the source-filter representation of speech with a variational autoencoder ... Sadok, Samir; Leglaive, Simon; Girin, Laurent. - : arXiv, 2022 BASE Show details 14 Correcting Misproducted Speech using Spectrogram Inpainting ... Ben-Simon, Talia; Kreuk, Felix; Awwad, Faten. - : arXiv, 2022 BASE Show details 15 The 2021 NIST Speaker Recognition Evaluation ... Sadjadi, Seyed Omid; Greenberg, Craig; Singer, Elliot. - : arXiv, 2022 BASE Show details 16 Multilingual and Multimodal Abuse Detection ... Sharon, Rini; Shah, Heet; Mukherjee, Debdoot. - : arXiv, 2022 BASE Show details 17 WavThruVec: Latent speech representation as intermediate features for neural speech synthesis ... Siuzdak, Hubert; Dura, Piotr; van Rijn, Pol. - : arXiv, 2022 BASE Show details 18 CTA-RNN: Channel and Temporal-wise Attention RNN Leveraging Pre-trained ASR Embeddings for Speech Emotion Recognition ... Chen, Chengxin; Zhang, Pengyuan. - : arXiv, 2022 BASE Show details 19 Fine-grained Noise Control for Multispeaker Speech Synthesis ... Nikitaras, Karolos; Vamvoukakis, Georgios; Ellinas, Nikolaos; Klapsas, Konstantinos; Markopoulos, Konstantinos; Raptis, Spyros; Sung, June Sig; Jho, Gunu; Chalamandaris, Aimilios; Tsiakoulis, Pirros. - : arXiv, 2022 Abstract: A text-to-speech (TTS) model typically factorizes speech attributes such as content, speaker and prosody into disentangled representations.Recent works aim to additionally model the acoustic conditions explicitly, in order to disentangle the primary speech factors, i.e. linguistic content, prosody and timbre from any residual factors, such as recording conditions and background noise.This paper proposes unsupervised, interpretable and fine-grained noise and prosody modeling. We incorporate adversarial training, representation bottleneck and utterance-to-frame modeling in order to learn frame-level noise representations. To the same end, we perform fine-grained prosody modeling via a Fully Hierarchical Variational AutoEncoder (FVAE) which additionally results in more expressive speech synthesis. ... : submitted to Interspeech 2022 ... Keyword: Audio and Speech Processing eess.AS; Computation and Language cs.CL; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering; Machine Learning cs.LG; Sound cs.SD URL: https://dx.doi.org/10.48550/arxiv.2204.05070 https://arxiv.org/abs/2204.05070 BASE Hide details 20 Emotion Intensity and its Control for Emotional Voice Conversion ... Zhou, Kun; Sisman, Berrak; Rana, Rajib. - : arXiv, 2022 BASE Show details Page: 1 2 3 4 5...89

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