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20192025
most citedUnsupervised Data Selection for TTS: Using Arabic Broadcast News as a Case Study

4 citations · 18 across the 25 of their papers we have counts for

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6 papers · 1 filter

cs.SD2024

SpoofCeleb: Speech Deepfake Detection and SASV In The Wild

Jee-weon Jung, Yihan Wu, Xin Wang +11

This paper introduces SpoofCeleb, a dataset designed for Speech Deepfake Detection (SDD) and Spoofing-robust Automatic Speaker Verification (SASV), utilizing source data from real-…

cs.SD2024

SpeechBERTScore: Reference-Aware Automatic Evaluation of Speech Generation Leveraging NLP Evaluation Metrics

Takaaki Saeki, Soumi Maiti, Shinnosuke Takamichi +2

While subjective assessments have been the gold standard for evaluating speech generation, there is a growing need for objective metrics that are highly correlated with human subje…

cs.SD2023

ESPnet-ST-v2: Multipurpose Spoken Language Translation Toolkit

Brian Yan, Jiatong Shi, Yun Tang +13

ESPnet-ST-v2 is a revamp of the open-source ESPnet-ST toolkit necessitated by the broadening interests of the spoken language translation community. ESPnet-ST-v2 supports 1) offlin…

cs.SD2021

End-to-End Diarization for Variable Number of Speakers with Local-Global Networks and Discriminative Speaker Embeddings

Soumi Maiti, Hakan Erdogan, Kevin Wilson +3

We present an end-to-end deep network model that performs meeting diarization from single-channel audio recordings. End-to-end diarization models have the advantage of handling spe…

cs.SD2019

Speaker independence of neural vocoders and their effect on parametric resynthesis speech enhancement

Soumi Maiti, Michael I Mandel

Traditional speech enhancement systems produce speech with compromised quality. Here we propose to use the high quality speech generation capability of neural vocoders for better q…

cs.SD2019

Parametric Resynthesis with neural vocoders

Soumi Maiti, Michael I Mandel

Noise suppression systems generally produce output speech with compromised quality. We propose to utilize the high quality speech generation capability of neural vocoders for noise…