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20192023
most citedScaling Speech Technology to 1,000+ Languages

116 citations · 146 across the 16 of their papers we have counts for

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7 papers · 1 filter

eess.AS2023★ 2 cited

TorchAudio-Squim: Reference-less Speech Quality and Intelligibility measures in TorchAudio

Anurag Kumar, Ke Tan, Zhaoheng Ni +4

Measuring quality and intelligibility of a speech signal is usually a critical step in development of speech processing systems. To enable this, a variety of metrics to measure qua…

eess.AS2022★ 3 cited

ESPnet-SE++: Speech Enhancement for Robust Speech Recognition, Translation, and Understanding

Yen-Ju Lu, Xuankai Chang, Chenda Li +10

This paper presents recent progress on integrating speech separation and enhancement (SSE) into the ESPnet toolkit. Compared with the previous ESPnet-SE work, numerous features hav…

eess.AS2022

Towards Low-distortion Multi-channel Speech Enhancement: The ESPNet-SE Submission to The L3DAS22 Challenge

Yen-Ju Lu, Samuele Cornell, Xuankai Chang +5

This paper describes our submission to the L3DAS22 Challenge Task 1, which consists of speech enhancement with 3D Ambisonic microphones. The core of our approach combines Deep Neur…

eess.AS2021★ 14 cited

TorchAudio: Building Blocks for Audio and Speech Processing

Yao-Yuan Yang, Moto Hira, Zhaoheng Ni +20

This document describes version 0.10 of TorchAudio: building blocks for machine learning applications in the audio and speech processing domain. The objective of TorchAudio is to a…

eess.AS2020

WPD++: An Improved Neural Beamformer for Simultaneous Speech Separation and Dereverberation

Zhaoheng Ni, Yong Xu, Meng Yu +4

This paper aims at eliminating the interfering speakers' speech, additive noise, and reverberation from the noisy multi-talker speech mixture that benefits automatic speech recogni…

eess.AS2019★ 5 cited

Onssen: an open-source speech separation and enhancement library

Zhaoheng Ni, Michael I Mandel

Speech separation is an essential task for multi-talker speech recognition. Recently many deep learning approaches are proposed and have been constantly refreshing the state-of-the…

eess.AS2019

Mask-dependent Phase Estimation for Monaural Speaker Separation

Zhaoheng Ni, Michael I Mandel

Speaker separation refers to isolating speech of interest in a multi-talker environment. Most methods apply real-valued Time-Frequency (T-F) masks to the mixture Short-Time Fourier…