Browse > Speech > Speech Separation

Speech Separation

11 papers with code · Speech

State-of-the-art leaderboards

Greatest papers with code

Multi-talker Speech Separation with Utterance-level Permutation Invariant Training of Deep Recurrent Neural Networks

18 Mar 2017snsun/pit-speech-separation

We evaluated uPIT on the WSJ0 and Danish two- and three-talker mixed-speech separation tasks and found that uPIT outperforms techniques based on Non-negative Matrix Factorization (NMF) and Computational Auditory Scene Analysis (CASA), and compares favorably with Deep Clustering (DPCL) and the Deep Attractor Network (DANet).

SPEECH SEPARATION

Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation

20 Sep 2018kaituoxu/Conv-TasNet

The majority of the previous methods have formulated the separation problem through the time-frequency representation of the mixed signal, which has several drawbacks, including the decoupling of the phase and magnitude of the signal, the suboptimality of time-frequency representation for speech separation, and the long latency in calculating the spectrograms.

SPEAKER SEPARATION SPEECH SEPARATION

Looking to Listen at the Cocktail Party: A Speaker-Independent Audio-Visual Model for Speech Separation

10 Apr 2018bill9800/speech_separation

Solving this task using only audio as input is extremely challenging and does not provide an association of the separated speech signals with speakers in the video.

SPEECH SEPARATION

Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation

13 Feb 2015bill9800/speech_separation

In this paper, we explore joint optimization of masking functions and deep recurrent neural networks for monaural source separation tasks, including monaural speech separation, monaural singing voice separation, and speech denoising.

DENOISING SPEECH SEPARATION

Deep Recurrent NMF for Speech Separation by Unfolding Iterative Thresholding

21 Sep 2017stwisdom/dr-nmf

This interpretability also provides principled initializations that enable faster training and convergence to better solutions compared to conventional random initialization.

SPEECH SEPARATION

Face Landmark-based Speaker-Independent Audio-Visual Speech Enhancement in Multi-Talker Environments

6 Nov 2018dr-pato/audio_visual_speech_enhancement

In this paper, we address the problem of enhancing the speech of a speaker of interest in a cocktail party scenario when visual information of the speaker of interest is available.

SPEECH ENHANCEMENT SPEECH SEPARATION

Semi-Supervised Monaural Singing Voice Separation With a Masking Network Trained on Synthetic Mixtures

14 Dec 2018sagiebenaim/Singing

We study the problem of semi-supervised singing voice separation, in which the training data contains a set of samples of mixed music (singing and instrumental) and an unmatched set of instrumental music.

MUSIC SOURCE SEPARATION SPEECH SEPARATION

WHAM!: Extending Speech Separation to Noisy Environments

2 Jul 2019AkojimaSLP/Neural-mask-estimation

Recent progress in separating the speech signals from multiple overlapping speakers using a single audio channel has brought us closer to solving the cocktail party problem.

SPEECH SEPARATION

Improved Speech Separation with Time-and-Frequency Cross-domain Joint Embedding and Clustering

16 Apr 2019r06944010/improved-speech-separation

Substantial effort has been reported based on approaches over spectrogram, which is well known as the standard time-and-frequency cross-domain representation for speech signals.

SPEECH SEPARATION

Single-Channel Multi-Speaker Separation using Deep Clustering

7 Jul 2016ishandutta2007/Speech-Denoising-Landscape

In this paper we extend the baseline system with an end-to-end signal approximation objective that greatly improves performance on a challenging speech separation.

SPEAKER SEPARATION SPEECH RECOGNITION SPEECH SEPARATION