Noise invariant frame selection: a simple method to address the background noise problem for text-independent speaker verification

The performance of speaker-related systems usually degrades heavily in practical applications largely due to the background noise. To improve the robustness of such systems in unknown noisy environments, this paper proposes a simple pre-processing method called Noise Invariant Frame Selection (NIFS)...

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Main Authors:	Song, Siyang, Shuimei, Zhang, Schuller, Björn, Shen, Linlin, Valstar, Michel F.
Format:	Conference or Workshop Item
Language:	English
Published:	2018
Online Access:	http://eprints.nottingham.ac.uk/51473/ http://eprints.nottingham.ac.uk/51473/1/noise-invariant-frame.pdf

id	nottingham-51473
recordtype	eprints
spelling	nottingham-514732018-07-09T09:30:06Z http://eprints.nottingham.ac.uk/51473/ Noise invariant frame selection: a simple method to address the background noise problem for text-independent speaker verification Song, Siyang Shuimei, Zhang Schuller, Björn Shen, Linlin Valstar, Michel F. The performance of speaker-related systems usually degrades heavily in practical applications largely due to the background noise. To improve the robustness of such systems in unknown noisy environments, this paper proposes a simple pre-processing method called Noise Invariant Frame Selection (NIFS). Based on several noisy constraints, it selects noise invariant frames from utterances to represent speakers. Experiments conducted on the TIMIT database showed that the NIFS can significantly improve the performance of Vector Quantization (VQ), Gaussian Mixture Model-Universal Background Model (GMM-UBM) and i-vector-based speaker verification systems in different unknown noisy environments with different SNRs, in comparison to their baselines. Meanwhile, the proposed NIFS-based speaker systems has achieves similar performance when we change the constraints (hyper-parameters) or features, which indicates that it is easy to reproduce. Since NIFS is designed as a general algorithm, it could be further applied to other similar tasks. 2018-07-08 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.nottingham.ac.uk/51473/1/noise-invariant-frame.pdf Song, Siyang and Shuimei, Zhang and Schuller, Björn and Shen, Linlin and Valstar, Michel F. (2018) Noise invariant frame selection: a simple method to address the background noise problem for text-independent speaker verification. In: International Joint Conference on Neural Networks 2018, 8-13 July 2018, Rio de Janeiro, Brazil. (In Press)
repository_type	Digital Repository
institution_category	Local University
institution	University of Nottingham Malaysia Campus
building	Nottingham Research Data Repository
collection	Online Access
language	English
description	The performance of speaker-related systems usually degrades heavily in practical applications largely due to the background noise. To improve the robustness of such systems in unknown noisy environments, this paper proposes a simple pre-processing method called Noise Invariant Frame Selection (NIFS). Based on several noisy constraints, it selects noise invariant frames from utterances to represent speakers. Experiments conducted on the TIMIT database showed that the NIFS can significantly improve the performance of Vector Quantization (VQ), Gaussian Mixture Model-Universal Background Model (GMM-UBM) and i-vector-based speaker verification systems in different unknown noisy environments with different SNRs, in comparison to their baselines. Meanwhile, the proposed NIFS-based speaker systems has achieves similar performance when we change the constraints (hyper-parameters) or features, which indicates that it is easy to reproduce. Since NIFS is designed as a general algorithm, it could be further applied to other similar tasks.
format	Conference or Workshop Item
author	Song, Siyang Shuimei, Zhang Schuller, Björn Shen, Linlin Valstar, Michel F.
spellingShingle	Song, Siyang Shuimei, Zhang Schuller, Björn Shen, Linlin Valstar, Michel F. Noise invariant frame selection: a simple method to address the background noise problem for text-independent speaker verification
author_facet	Song, Siyang Shuimei, Zhang Schuller, Björn Shen, Linlin Valstar, Michel F.
author_sort	Song, Siyang
title	Noise invariant frame selection: a simple method to address the background noise problem for text-independent speaker verification
title_short	Noise invariant frame selection: a simple method to address the background noise problem for text-independent speaker verification
title_full	Noise invariant frame selection: a simple method to address the background noise problem for text-independent speaker verification
title_fullStr	Noise invariant frame selection: a simple method to address the background noise problem for text-independent speaker verification
title_full_unstemmed	Noise invariant frame selection: a simple method to address the background noise problem for text-independent speaker verification
title_sort	noise invariant frame selection: a simple method to address the background noise problem for text-independent speaker verification
publishDate	2018
url	http://eprints.nottingham.ac.uk/51473/ http://eprints.nottingham.ac.uk/51473/1/noise-invariant-frame.pdf
first_indexed	2018-09-06T14:20:55Z
last_indexed	2018-09-06T14:20:55Z
_version_	1610868227400794112

Noise invariant frame selection: a simple method to address the background noise problem for text-independent speaker verification

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