ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2005.04132
  4. Cited By
Asteroid: the PyTorch-based audio source separation toolkit for
  researchers

Asteroid: the PyTorch-based audio source separation toolkit for researchers

8 May 2020
Manuel Pariente
Samuele Cornell
Joris Cosentino
S. Sivasankaran
Efthymios Tzinis
Jens Heitkaemper
Michel Olvera
Fabian-Robert Stöter
Mathieu Hu
Juan M. Martín-Donas
David Ditter
Ariel Frank
Antoine Deleforge
Emmanuel Vincent
ArXivPDFHTML

Papers citing "Asteroid: the PyTorch-based audio source separation toolkit for researchers"

12 / 12 papers shown
Title
Effects of Dataset Sampling Rate for Noise Cancellation through Deep
  Learning
Effects of Dataset Sampling Rate for Noise Cancellation through Deep Learning
Brandon Colelough
Andrew Zheng
19
1
0
30 May 2024
audb -- Sharing and Versioning of Audio and Annotation Data in Python
audb -- Sharing and Versioning of Audio and Annotation Data in Python
H. Wierstorf
Johannes Wagner
F. Eyben
Felix Burkhardt
Björn W. Schuller
25
1
0
01 Mar 2023
MESH2IR: Neural Acoustic Impulse Response Generator for Complex 3D
  Scenes
MESH2IR: Neural Acoustic Impulse Response Generator for Complex 3D Scenes
Anton Ratnarajah
Zhenyu Tang
R. Aralikatti
Dinesh Manocha
AI4CE
10
35
0
18 May 2022
Listen only to me! How well can target speech extraction handle false
  alarms?
Listen only to me! How well can target speech extraction handle false alarms?
Marc Delcroix
K. Kinoshita
Tsubasa Ochiai
Kateřina Žmolíková
Hiroshi Sato
Tomohiro Nakatani
20
15
0
11 Apr 2022
SoundBeam: Target sound extraction conditioned on sound-class labels and
  enrollment clues for increased performance and continuous learning
SoundBeam: Target sound extraction conditioned on sound-class labels and enrollment clues for increased performance and continuous learning
Marc Delcroix
Jorge Bennasar Vázquez
Tsubasa Ochiai
K. Kinoshita
Yasunori Ohishi
S. Araki
VLM
22
31
0
08 Apr 2022
How Bad Are Artifacts?: Analyzing the Impact of Speech Enhancement
  Errors on ASR
How Bad Are Artifacts?: Analyzing the Impact of Speech Enhancement Errors on ASR
Kazuma Iwamoto
Tsubasa Ochiai
Marc Delcroix
Rintaro Ikeshita
Hiroshi Sato
S. Araki
S. Katagiri
7
57
0
18 Jan 2022
TorchAudio: Building Blocks for Audio and Speech Processing
TorchAudio: Building Blocks for Audio and Speech Processing
Yao-Yuan Yang
Moto Hira
Zhaoheng Ni
Anjali Chourdia
Artyom Astafurov
...
Sean Narenthiran
Shinji Watanabe
Soumith Chintala
Vincent Quenneville-Bélair
Yangyang Shi
23
164
0
28 Oct 2021
Progressive Learning for Stabilizing Label Selection in Speech
  Separation with Mapping-based Method
Progressive Learning for Stabilizing Label Selection in Speech Separation with Mapping-based Method
Chenyang Gao
Yue Gu
I. Marsic
22
0
0
20 Oct 2021
ESPnet2-TTS: Extending the Edge of TTS Research
ESPnet2-TTS: Extending the Edge of TTS Research
Tomoki Hayashi
Ryuichi Yamamoto
Takenori Yoshimura
Peter Wu
Jiatong Shi
Takaaki Saeki
Yooncheol Ju
Yusuke Yasuda
Shinnosuke Takamichi
Shinji Watanabe
VLM
42
60
0
15 Oct 2021
Don't Separate, Learn to Remix: End-to-End Neural Remixing with Joint
  Optimization
Don't Separate, Learn to Remix: End-to-End Neural Remixing with Joint Optimization
Haici Yang
Shivani Firodiya
Nicholas J. Bryan
Minje Kim
18
6
0
28 Jul 2021
DF-Conformer: Integrated architecture of Conv-TasNet and Conformer using
  linear complexity self-attention for speech enhancement
DF-Conformer: Integrated architecture of Conv-TasNet and Conformer using linear complexity self-attention for speech enhancement
Yuma Koizumi
Shigeki Karita
Scott Wisdom
Hakan Erdogan
J. Hershey
Llion Jones
M. Bacchiani
19
41
0
30 Jun 2021
TransMask: A Compact and Fast Speech Separation Model Based on
  Transformer
TransMask: A Compact and Fast Speech Separation Model Based on Transformer
Zining Zhang
Bingsheng He
Zhenjie Zhang
16
20
0
19 Feb 2021
1