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09/14/2023
Voxtlm: unified decoder-only models for consolidating speech recognition/synthesis and speech/text continuation tasks
We propose a decoder-only language model, VoxtLM, that can perform four ...
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06/11/2023
Reducing Barriers to Self-Supervised Learning: HuBERT Pre-training with Academic Compute
Self-supervised learning (SSL) has led to great strides in speech proces...
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04/10/2023
ESPnet-ST-v2: Multipurpose Spoken Language Translation Toolkit
ESPnet-ST-v2 is a revamp of the open-source ESPnet-ST toolkit necessitat...
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02/24/2023
Improving Massively Multilingual ASR With Auxiliary CTC Objectives
Multilingual Automatic Speech Recognition (ASR) models have extended the...
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01/30/2023
Learning to Speak from Text: Zero-Shot Multilingual Text-to-Speech with Unsupervised Text Pretraining
While neural text-to-speech (TTS) has achieved human-like natural synthe...
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12/08/2022
SpeechLMScore: Evaluating speech generation using speech language model
While human evaluation is the most reliable metric for evaluating speech...
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03/31/2022
EEND-SS: Joint End-to-End Neural Speaker Diarization and Speech Separation for Flexible Number of Speakers
In this paper, we present a novel framework that jointly performs speake...
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05/05/2021
End-to-End Diarization for Variable Number of Speakers with Local-Global Networks and Discriminative Speaker Embeddings
We present an end-to-end deep network model that performs meeting diariz...
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04/10/2020
Generating Multilingual Voices Using Speaker Space Translation Based on Bilingual Speaker Data
We present progress towards bilingual Text-to-Speech which is able to tr...
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11/14/2019
Speaker independence of neural vocoders and their effect on parametric resynthesis speech enhancement
Traditional speech enhancement systems produce speech with compromised q...
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06/16/2019
Parametric Resynthesis with neural vocoders
Noise suppression systems generally produce output speech with copromise...
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04/02/2019