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Speaker Separation

6 papers with code · Speech

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

20 Sep 2018facebookresearch/demucs

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.

MUSIC SOURCE SEPARATION SPEAKER SEPARATION SPEECH SEPARATION

VoiceFilter: Targeted Voice Separation by Speaker-Conditioned Spectrogram Masking

11 Oct 2018mindslab-ai/voicefilter

In this paper, we present a novel system that separates the voice of a target speaker from multi-speaker signals, by making use of a reference signal from the target speaker.

SPEAKER RECOGNITION SPEAKER SEPARATION SPEECH ENHANCEMENT SPEECH RECOGNITION

Monaural Audio Speaker Separation with Source Contrastive Estimation

12 May 2017lab41/magnolia

Although the matrix determined by the output weights is dependent on a set of known speakers, we only use the input vectors during inference.

SPEAKER SEPARATION

Single-Channel Multi-Speaker Separation using Deep Clustering

7 Jul 2016JusperLee/Deep-Clustering-for-Speech-Separation

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

Divide and Conquer: A Deep CASA Approach to Talker-independent Monaural Speaker Separation

25 Apr 2019yuzhou-git/deep-casa

Simultaneous grouping is first performed in each time frame by separating the spectra of different speakers with a permutation-invariantly trained neural network.

SPEAKER SEPARATION SPEECH SEPARATION

Neural separation of observed and unobserved distributions

ICLR 2019 tavihalperin/Neural-Egg-Seperation

In this work, we introduce a new method---Neural Egg Separation---to tackle the scenario of extracting a signal from an unobserved distribution additively mixed with a signal from an observed distribution.

SPEAKER SEPARATION