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Constrained Convolutional-Recurrent Networks to Improve Speech Quality
  with Low Impact on Recognition Accuracy

Constrained Convolutional-Recurrent Networks to Improve Speech Quality with Low Impact on Recognition Accuracy

16 February 2018
Rasool Fakoor
Xiaodong He
I. Tashev
Shuayb Zarar
ArXiv (abs)PDFHTML

Papers citing "Constrained Convolutional-Recurrent Networks to Improve Speech Quality with Low Impact on Recognition Accuracy"

3 / 3 papers shown
Title
Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens
Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens
Zhepeng Cen
Yao Liu
Siliang Zeng
Pratik Chaudhar
Huzefa Rangwala
George Karypis
Rasool Fakoor
SyDaAIFin
133
3
0
18 Oct 2024
NORESQA: A Framework for Speech Quality Assessment using Non-Matching
  References
NORESQA: A Framework for Speech Quality Assessment using Non-Matching References
Pranay Manocha
Buye Xu
Anurag Kumar
98
49
0
16 Sep 2021
A Review of Multi-Objective Deep Learning Speech Denoising Methods
A Review of Multi-Objective Deep Learning Speech Denoising Methods
A. Azarang
N. Kehtarnavaz
79
32
0
26 Mar 2020
1