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. 1707.03634
  4. Cited By
Speaker-independent Speech Separation with Deep Attractor Network
v1v2v3 (latest)

Speaker-independent Speech Separation with Deep Attractor Network

12 July 2017
Yi Luo
Zhuo Chen
N. Mesgarani
ArXiv (abs)PDFHTML

Papers citing "Speaker-independent Speech Separation with Deep Attractor Network"

17 / 17 papers shown
Title
Reading to Listen at the Cocktail Party: Multi-Modal Speech Separation
Reading to Listen at the Cocktail Party: Multi-Modal Speech Separation
Akam Rahimi
Triantafyllos Afouras
Andrew Zisserman
119
29
0
02 Jan 2025
USEF-TSE: Universal Speaker Embedding Free Target Speaker Extraction
USEF-TSE: Universal Speaker Embedding Free Target Speaker Extraction
Bang Zeng
Ming Li
88
5
0
04 Sep 2024
Mixup-breakdown: a consistency training method for improving
  generalization of speech separation models
Mixup-breakdown: a consistency training method for improving generalization of speech separation models
Max W. Y. Lam
Jun Wang
Dan Su
Dong Yu
66
23
0
28 Oct 2019
Multi-talker Speech Separation with Utterance-level Permutation
  Invariant Training of Deep Recurrent Neural Networks
Multi-talker Speech Separation with Utterance-level Permutation Invariant Training of Deep Recurrent Neural Networks
Morten Kolbaek
Dong Yu
Zheng-Hua Tan
Jesper Jensen
57
726
0
18 Mar 2017
Deep attractor network for single-microphone speaker separation
Deep attractor network for single-microphone speaker separation
Zhuo Chen
Yi Luo
N. Mesgarani
80
408
0
27 Nov 2016
Deep Clustering and Conventional Networks for Music Separation: Stronger
  Together
Deep Clustering and Conventional Networks for Music Separation: Stronger Together
Yi Luo
Zhuo Chen
J. Hershey
Jonathan Le Roux
N. Mesgarani
60
162
0
18 Nov 2016
Achieving Human Parity in Conversational Speech Recognition
Achieving Human Parity in Conversational Speech Recognition
Wayne Xiong
J. Droppo
Xuedong Huang
Frank Seide
M. Seltzer
A. Stolcke
Dong Yu
Geoffrey Zweig
91
581
0
17 Oct 2016
Single-Channel Multi-Speaker Separation using Deep Clustering
Single-Channel Multi-Speaker Separation using Deep Clustering
Y. Isik
Jonathan Le Roux
Zhuo Chen
Shinji Watanabe
J. Hershey
67
432
0
07 Jul 2016
Permutation Invariant Training of Deep Models for Speaker-Independent
  Multi-talker Speech Separation
Permutation Invariant Training of Deep Models for Speaker-Independent Multi-talker Speech Separation
Dong Yu
Morten Kolbæk
Zheng-Hua Tan
Jesper Jensen
103
859
0
01 Jul 2016
Deep clustering: Discriminative embeddings for segmentation and
  separation
Deep clustering: Discriminative embeddings for segmentation and separation
J. Hershey
Zhuo Chen
Jonathan Le Roux
Shinji Watanabe
64
1,321
0
18 Aug 2015
Building End-To-End Dialogue Systems Using Generative Hierarchical
  Neural Network Models
Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models
Iulian Serban
Alessandro Sordoni
Yoshua Bengio
Aaron Courville
Joelle Pineau
AILaw
171
1,756
0
17 Jul 2015
Describing Multimedia Content using Attention-based Encoder--Decoder
  Networks
Describing Multimedia Content using Attention-based Encoder--Decoder Networks
Kyunghyun Cho
Aaron Courville
Yoshua Bengio
80
412
0
04 Jul 2015
Joint Optimization of Masks and Deep Recurrent Neural Networks for
  Monaural Source Separation
Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation
Po-Sen Huang
Minje Kim
M. Hasegawa-Johnson
Paris Smaragdis
51
448
0
13 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,364
0
22 Dec 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
578
27,327
0
01 Sep 2014
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
1.1K
23,388
0
03 Jun 2014
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAIOCL
402
33,565
0
16 Oct 2013
1