Spectral stability based event localizing temporal decomposition

Nandasena, A.C.R.; Nguyen, Phu Chien; Akagi, Masato

doi:10.1006/csla.2001.0173

Cited by 12 publications

(9 citation statements)

References 10 publications

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“…5 compares the spectral distortions [22] between clean dysarthric speech, as shown in Fig. 4 (a), and estimated clean dysarthric speeches by the CV-dependent Wiener filter, as shown in Fig.…”

Section: Performance Evaluationmentioning

confidence: 99%

Reducing Speech Noise for Patients with Dysarthria in Noisy Environments

Seong

Park

Kim

2014

IEICE Trans. Inf. & Syst.

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SUMMARYDysarthric speech results from damage to the central nervous system involving the articulator, which can mainly be characterized by poor articulation due to irregular sub-glottal pressure, loudness bursts, phoneme elongation, and unexpected pauses during utterances. Since dysarthric speakers have physical disabilities due to the impairment of their nervous system, they cannot easily control electronic devices. For this reason, automatic speech recognition (ASR) can be a convenient interface for dysarthric speakers to control electronic devices. However, the performance of dysarthric ASR severely degrades when there is background noise. Thus, in this paper, we propose a noise reduction method that improves the performance of dysarthric ASR. The proposed method selectively applies either a Wiener filtering algorithm or a Kalman filtering algorithm according to the result of voiced or unvoiced classification. Then, the performance of the proposed method is compared to a conventional Wiener filtering method in terms of ASR accuracy.

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Section: Performance Evaluationmentioning

confidence: 99%

Reducing Speech Noise for Patients with Dysarthria in Noisy Environments

Seong

Park

Kim

2014

IEICE Trans. Inf. & Syst.

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“…It was first used in one of the modified temporal decomposition (TD) algorithms to initialize the number and locations of event functions [4]. Since TD is able to determine phonetic events and the maximum spectral stability criterion can ensure the stability of the events, it is supposed to be an effective way to find out the most stable point in the essential vowel.…”

Section: Maximum Spectral Stability Criterionmentioning

confidence: 99%

A novel set of synthesis units with stable spectral boundaries for HMM-based Mandarin speech synthesis system

Jiao¹,

Xie²,

Tao³

et al. 2013

Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)

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Selecting a proper set of synthesis units is crucial to the speech synthesis system. The length and structure of synthesis units concern the quality and naturalness of synthesized speech, as well as the size of database and the complexity of synthesis system. Optional units are words, syllables, initial-finals, phonemes, etc. In Mandarin text-to-speech (TTS) system, syllables are often used as synthesis units. The reason is that they are the most natural and basic units for pronunciation, and an , Xiang Xie, Ming Tu, Xingyu Na Abstr act. Co-articulation is a common phenomenon in human speech, which guarantees the speech sound coherent and natural. Synthesized speech, however, often sounds artificial. This is somewhat because of its inability to imitate coarticulation well. This paper defines a novel set of synthesis units to preserve both intra-and inter-syllable co-articulation. The boundaries of the new unit are located respectively at each essential vowel of two adjacent syllables. It consists of three parts: final-tail of the preceding syllable, initial consonant and final-head of the following syllable so that we call it Nal-Initial-FI (NIF) unit. To locate the boundaries, we adopt the maximum spectral stability criterion. It can find out the most stable point within the essential vowel. In the experiment, we test NIF units on the HMM-based speech synthesis system (HTS) and compare the result to the syllable unit system. The Preference test and the Comparison Category Rating (CCR) test show that the speech synthesized with NIF units has better naturalness than that with syllable units, and the speech quality of both systems is comparable.Keywor ds: synthesis unit · co-articulation · maximum spectral stability criterion· Mandarin speech·HTS 1 Intr oduction 1 Yishan Jiao () Beijing Institute of Technology, Haidian district,

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“…These ideal targets locate around the centers of the phoneme nucleus [6], [7]. Under effects of coarticulation, the transition between two phonemes is described as the movement between the two ideal targets of the phonemes.…”

Section: Coarticulation Theory and Modelsmentioning

confidence: 99%

“…Besides, the minimum of STM can be considered the center of phoneme nuclei, and approximated as location of idealized articulatory target [6,7].…”

Section: International Journal Of Computer and Electrical Engineeringmentioning

confidence: 99%

See 1 more Smart Citation

An Investigation on Speech Perception Under Effects of Coarticulation

Phung¹,

Luong²,

Akagi³

2012

IJCEE

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Abstract-In this paper, we investigated the speech perception under effects of coarticulation within syllables, including estimating the nuclei and coarticulated transition intervals of phonemes, and investigating the perception of nuclei and coarticulated transition intervals of phonemes within syllables. To complete these objectives, we firstly proposed the folded spectral transition measure to estimate the boundary points between the nuclei interval and coarticulated transition intervals. Then, we conducted experiments to investigate the syllable identification and syllable quality evaluation under effects of coarticulation. The experimental results show that human can identify the syllables with the retaining intervals equal or wider the coarticulated transition intervals. Besides, the experimental results show that the nuclei intervals are still important for speech quality perception; the quality of truncated syllables retaining the two phoneme nucleus and coarticulated transition interval between the two phonemes within syllable is equivalent with the quality of original two-phoneme syllables.

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Spectral stability based event localizing temporal decomposition

Cited by 12 publications

References 10 publications

Reducing Speech Noise for Patients with Dysarthria in Noisy Environments

Reducing Speech Noise for Patients with Dysarthria in Noisy Environments

A novel set of synthesis units with stable spectral boundaries for HMM-based Mandarin speech synthesis system

An Investigation on Speech Perception Under Effects of Coarticulation

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