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08/22/2023
SeamlessM4T-Massively Multilingual Multimodal Machine Translation
What does it take to create the Babel Fish, a tool that can help individ...
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05/22/2023
Scaling Speech Technology to 1,000+ Languages
Expanding the language coverage of speech technology has the potential t...
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12/02/2022
Continual Learning for On-Device Speech Recognition using Disentangled Conformers
Automatic speech recognition research focuses on training and evaluating...
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11/11/2022
Speech-to-Speech Translation For A Real-world Unwritten Language
We study speech-to-speech translation (S2ST) that translates speech from...
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04/04/2022
Deliberation Model for On-Device Spoken Language Understanding
We propose a novel deliberation-based approach to end-to-end (E2E) spoke...
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03/30/2022
Generative Spoken Dialogue Language Modeling
We introduce dGSLM, the first "textless" model able to generate audio sa...
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02/15/2022
textless-lib: a Library for Textless Spoken Language Processing
Textless spoken language processing research aims to extend the applicab...
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01/29/2022
Flashlight: Enabling Innovation in Tools for Machine Learning
As the computational requirements for machine learning systems and the s...
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10/22/2020
Rethinking Evaluation in ASR: Are Our Models Robust Enough?
Is pushing numbers on a single benchmark valuable in automatic speech re...
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10/22/2020
Self-training and Pre-training are Complementary for Speech Recognition
Self-training and unsupervised pre-training have emerged as effective ap...
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07/06/2020
Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters
We study training a single acoustic model for multiple languages with th...
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11/17/2018