Frequency Domain Microphone Array Calibration and Beamforming for Automatic Speech Recognition

Hu, Jwu‐Sheng; Cheng, Chieh-Cheng

doi:10.1093/ietfec/e88-a.9.2401

Cited by 8 publications

(2 citation statements)

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“…Intelligent hands-free interfaces, including human-computer interaction (HCI) interfaces [1][2][3] with speech recognition, have recently been proposed due to concerns over driving safety and convenience. Speech recognition suffers from environmental noises, explaining why speech enhancement approaches using multiple microphones [4][5][6][7] have been introduced to purify speech signals in noisy environments. For example, in vehicle applications, a driver may wish to exert a particular authority in manipulating the in-car electronic systems.…”

Section: Introductionmentioning

confidence: 99%

A Robust Statistical-Based Speaker's Location Detection Algorithm in a Vehicular Environment

Cheng

Liu

2006

EURASIP J. Adv. Signal Process.

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This work presents a robust speaker's location detection algorithm using a single linear microphone array that is capable of detecting multiple speech sources under the assumption that there exist nonoverlapped speech segments among sources. Namely, the overlapped speech segments are treated as uncertainty and are not used for detection. The location detection algorithm is derived from a previous work (2006), where Gaussian mixture models (GMMs) are used to model location-dependent and content and speaker-independent phase difference distributions. The proposed algorithm is proven to be robust against the complex vehicular acoustics including noise, reverberation, near-filed, far-field, line-of-sight, and non-line-of-sight conditions, and microphones' mismatch. An adaptive system architecture is developed to adjust the Gaussian mixture (GM) location model to environmental noises. To deal with unmodeled speech sources as well as overlapped speech signals, a threshold adaptation scheme is proposed in this work. Experimental results demonstrate high detection accuracy in a noisy vehicular environment.

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Section: Introductionmentioning

confidence: 99%

A Robust Statistical-Based Speaker's Location Detection Algorithm in a Vehicular Environment

Cheng

Liu

2006

EURASIP J. Adv. Signal Process.

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“…Given concerns over driving safety and convenience, intelligent hands-free interfaces [1][2] with speech recognition have recently been proposed. Speech recognition suffers from environmental noises, explaining why speech enhancement approaches using multiple microphones [3][4] were introduced to purify speech signals in noisy environments. Notably, a complete speech enhancement system needs to know speakers' locations.…”

Section: Introductionmentioning

confidence: 99%

A Robust Statistical-based Speaker's Location Detection Algorithm in a Vehicular Environment

Cheng

Liu

et al. 2006

2006 IEEE International Conference on Automation Science and Engineering

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This work proposes a threshold adaptation method to detect speaker's location in a vehicular environment. The method is robust to unmodeled sound source locations in a noisy environment and uses a single linear microphone array. The proposed approach is an improvement over previous work [12] which adopts Gaussian mixture models (GMMs) to model location-dependent but content and speaker independent acoustic characteristics of sound sources. Experimental results show that this scheme can overcome the far-filed and near-filed problem with the same architecture and perform well in both line-of-sight and non-line-of-sight cases.Index Terms -microphone array, sound localization, GMM, HCI.

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An embedded audio–visual tracking and speech purification system on a dual-core processor platform

Hu¹,

Lee²,

Yang³

2010

Microprocessors and Microsystems

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Frequency Domain Microphone Array Calibration and Beamforming for Automatic Speech Recognition

Cited by 8 publications

References 0 publications

A Robust Statistical-Based Speaker's Location Detection Algorithm in a Vehicular Environment

A Robust Statistical-Based Speaker's Location Detection Algorithm in a Vehicular Environment

A Robust Statistical-based Speaker's Location Detection Algorithm in a Vehicular Environment

An embedded audio–visual tracking and speech purification system on a dual-core processor platform

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