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Improving Character Error Rate Is Not Equal to Having Clean Speech:
  Speech Enhancement for ASR Systems with Black-box Acoustic Models

Improving Character Error Rate Is Not Equal to Having Clean Speech: Speech Enhancement for ASR Systems with Black-box Acoustic Models

12 October 2021
Ryosuke Sawata
Yosuke Kashiwagi
Shusuke Takahashi
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Papers citing "Improving Character Error Rate Is Not Equal to Having Clean Speech: Speech Enhancement for ASR Systems with Black-box Acoustic Models"

3 / 3 papers shown
Title
MATra: A Multilingual Attentive Transliteration System for Indian
  Scripts
MATra: A Multilingual Attentive Transliteration System for Indian Scripts
Yash Raj
Bhavesh Laddagiri
27
4
0
23 Aug 2022
Real-time Denoising and Dereverberation with Tiny Recurrent U-Net
Real-time Denoising and Dereverberation with Tiny Recurrent U-Net
Hyeong-Seok Choi
Sungjin Park
Jie Hwan Lee
Hoon Heo
Dongsuk Jeon
Kyogu Lee
38
57
0
05 Feb 2021
Weighted Speech Distortion Losses for Neural-network-based Real-time
  Speech Enhancement
Weighted Speech Distortion Losses for Neural-network-based Real-time Speech Enhancement
Yangyang Xia
Sebastian Braun
Chandan K. A. Reddy
Harishchandra Dubey
Ross Cutler
I. Tashev
34
119
0
28 Jan 2020
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