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20162023
most citedTime-domain speaker extraction network

36 citations · 195 across the 52 of their papers we have counts for

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Showing 2019Show all

7 papers · 1 filter

cs.CL2019★ 6 cited

Independent language modeling architecture for end-to-end ASR

Van Tung Pham, Haihua Xu, Yerbolat Khassanov +5

The attention-based end-to-end (E2E) automatic speech recognition (ASR) architecture allows for joint optimization of acoustic and language models within a single network. However,…

eess.AS2019★ 3 cited

I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences

Kong Aik Lee, Ville Hautamaki, Tomi Kinnunen +43

The I4U consortium was established to facilitate a joint entry to NIST speaker recognition evaluations (SRE). The latest edition of such joint submission was in SRE 2018, in which…

cs.CL2019★ 20 cited

Constrained Output Embeddings for End-to-End Code-Switching Speech Recognition with Only Monolingual Data

Yerbolat Khassanov, Haihua Xu, Van Tung Pham +4

The lack of code-switch training data is one of the major concerns in the development of end-to-end code-switching automatic speech recognition (ASR) models. In this work, we propo…

cs.CL2019★ 14 cited

Enriching Rare Word Representations in Neural Language Models by Embedding Matrix Augmentation

Yerbolat Khassanov, Zhiping Zeng, Van Tung Pham +2

The neural language models (NLM) achieve strong generalization capability by learning the dense representation of words and using them to estimate probability distribution function…

eess.AS2019★ 1 cited

Optimization of Speaker Extraction Neural Network with Magnitude and Temporal Spectrum Approximation Loss

Chenglin Xu, Wei Rao, Eng Siong Chng +1

The SpeakerBeam-FE (SBF) method is proposed for speaker extraction. It attempts to overcome the problem of unknown number of speakers in an audio recording during source separation…

eess.AS2019★ 5 cited

Target Speaker Extraction for Overlapped Multi-Talker Speaker Verification

Wei Rao, Chenglin Xu, Eng Siong Chng +1

The performance of speaker verification degrades significantly when the test speech is corrupted by interference speakers. Speaker diarization does well to separate speakers if the…

eess.AS2019★ 6 cited

A Vocoder-free WaveNet Voice Conversion with Non-Parallel Data

Xiaohai Tian, Eng Siong Chng, Haizhou Li

In a typical voice conversion system, vocoder is commonly used for speech-to-features analysis and features-to-speech synthesis. However, vocoder can be a source of speech quality…