Search Results for author: Jeff Hwang

Found 3 papers, 3 papers with code

Less Peaky and More Accurate CTC Forced Alignment by Label Priors

1 code implementation • 22 Apr 2024 • Ruizhe Huang, Xiaohui Zhang, Zhaoheng Ni, Li Sun, Moto Hira, Jeff Hwang, Vimal Manohar, Vineel Pratap, Matthew Wiesner, Shinji Watanabe, Daniel Povey, Sanjeev Khudanpur

Connectionist temporal classification (CTC) models are known to have peaky output distributions.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

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Code

TorchAudio 2.1: Advancing speech recognition, self-supervised learning, and audio processing components for PyTorch

1 code implementation • 27 Oct 2023 • Jeff Hwang, Moto Hira, Caroline Chen, Xiaohui Zhang, Zhaoheng Ni, Guangzhi Sun, Pingchuan Ma, Ruizhe Huang, Vineel Pratap, Yuekai Zhang, Anurag Kumar, Chin-Yun Yu, Chuang Zhu, Chunxi Liu, Jacob Kahn, Mirco Ravanelli, Peng Sun, Shinji Watanabe, Yangyang Shi, Yumeng Tao, Robin Scheibler, Samuele Cornell, Sean Kim, Stavros Petridis

TorchAudio is an open-source audio and speech processing library built for PyTorch.

Self-Supervised Learning Speech Enhancement +2

2,481

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TorchAudio: Building Blocks for Audio and Speech Processing

2 code implementations • 28 Oct 2021 • Yao-Yuan Yang, Moto Hira, Zhaoheng Ni, Anjali Chourdia, Artyom Astafurov, Caroline Chen, Ching-Feng Yeh, Christian Puhrsch, David Pollack, Dmitriy Genzel, Donny Greenberg, Edward Z. Yang, Jason Lian, Jay Mahadeokar, Jeff Hwang, Ji Chen, Peter Goldsborough, Prabhat Roy, Sean Narenthiran, Shinji Watanabe, Soumith Chintala, Vincent Quenneville-Bélair, Yangyang Shi

This document describes version 0. 10 of TorchAudio: building blocks for machine learning applications in the audio and speech processing domain.

BIG-bench Machine Learning valid

2,481

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Code

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