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RETRIEVING SPEAKER INFORMATION FROM PERSONALIZED ACOUSTIC MODELS FOR SPEECH RECOGNITION
In: IEEE ICASSP 2022 ; https://hal.archives-ouvertes.fr/hal-03539741 ; IEEE ICASSP 2022, 2022, Singapour, Singapore (2022)
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Hippocampal and auditory contributions to speech segmentation
In: ISSN: 0010-9452 ; Cortex ; https://hal.archives-ouvertes.fr/hal-03604957 ; Cortex, Elsevier, 2022, ⟨10.1016/j.cortex.2022.01.017⟩ (2022)
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Cross-lingual few-shot hate speech and offensive language detection using meta learning
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)
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МОНОЛОГИЧЕСКАЯ РЕЧЬ С ТОЧКИ ЗРЕНИЯ УЧЁНЫХ ... : MONOLOGICAL SPEECH FROM THE POINT OF VIEW OF SCIENTISTS ...
Н. И. Шадманова. - : Academic research in educational sciences, 2022
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5
A comparative study of several parameterizations for speaker recognition ...
Faundez-Zanuy, Marcos. - : arXiv, 2022
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6
Subspace-based Representation and Learning for Phonotactic Spoken Language Recognition ...
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7
REYD Yiddish TTS Corpus ...
Unkn Unknown. - : Centre for Speech Technology Research (CSTR), 2022
Abstract: * The Reading Electronic Yiddish Documents (REYD) Dataset. The REYD TTS dataset is a speech dataset for Yiddish consisting of 4,892 short audio clips, with a total duration of 475.7 minutes. The recordings are of three speakers, two of whom speak the Lithuanian Yiddish dialect and one who speaks the Polish Yiddish dialect. The source texts are in standard literary Yiddish. The text sources are mostly works of fiction from the late 19th and early 20th centuries. Audio was recorded at the Montreal Jewish Public Library and the University of Haifa. All source texts and audio are public domain. Permission has been granted by the surviving relatives of the three readers for this work to be made public. This work has been used to train a TTS system. For an interactive demo and other information, please see our GitHub project page at https://github.com/REYD-TTS. A paper describing the work of assembling this dataset has been submitted for publication and will be linked to on the project page if accepted. * ...
Keyword: Machine Learning; Mathematical and Computer Sciences; Speech Synthesis; Yiddish
URL: https://dx.doi.org/10.7488/ds/3424
https://datashare.ed.ac.uk/handle/10283/4383
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8
Data From: A Protracted Developmental Trajectory for English-Learning Children’s Detection of Consonant Mispronunciations in Newly Learned Words
In: Speech and Hearing Sciences Faculty Datasets (2022)
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9
Intoxication and pitch control in tonal and non-tonal language speakers ...
Chang, Charles. - : Open Science Framework, 2022
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10
Materials for Tang et al. (2022) ...
Chang, Charles. - : Open Science Framework, 2022
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Dataset for Tang et al. (2022) ...
Chang, Charles. - : Open Science Framework, 2022
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12
COLORINCO ...
, Caudrelier. - : Open Science Framework, 2022
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13
Learning and controlling the source-filter representation of speech with a variational autoencoder ...
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14
Correcting Misproducted Speech using Spectrogram Inpainting ...
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15
The 2021 NIST Speaker Recognition Evaluation ...
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Multilingual and Multimodal Abuse Detection ...
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WavThruVec: Latent speech representation as intermediate features for neural speech synthesis ...
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18
CTA-RNN: Channel and Temporal-wise Attention RNN Leveraging Pre-trained ASR Embeddings for Speech Emotion Recognition ...
Chen, Chengxin; Zhang, Pengyuan. - : arXiv, 2022
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19
Fine-grained Noise Control for Multispeaker Speech Synthesis ...
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20
Emotion Intensity and its Control for Emotional Voice Conversion ...
Zhou, Kun; Sisman, Berrak; Rana, Rajib. - : arXiv, 2022
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