Thai speech processing technology: A review

Wutiwiwatchai, Chai; Furui, Sadaoki

doi:10.1016/j.specom.2006.10.004

Cited by 47 publications

(26 citation statements)

References 45 publications

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“…Whereas, changing tone in a non-tonal language, such as English, does not change the meaning of a word. For Thai, there are five tones, consisting of middle, low, falling, high and rising [4][5], as shown in Fig 1. …”

Section: Why Thai Users?mentioning

confidence: 99%

Speech Quality Assessment of VoIP: G.711 VS G.722 Based on Interview Tests with Thai Users

Daengsi¹,

Wutiwiwatchai²,

Preechayasomboon³

et al. 2012

IJITCS

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Abstract-This paper presents the comparison between two codecs, G.711 and G.722 at 64 kbps, referring to speech quality perception using a subjective method called interview tests. These subjective tests have been conducted with 201 subjects, who are Thai native speakers that use Thai which is a tonal language, for accuracy and reliability of results. The results from testing with both codecs are almost the same; the scores are 4.17 for G.722 and 4.14 for G.711. After analyzing the results, it has been confirmed that G.722 does not provide better speech quality than G.711 to the Thai subjects significantly, which is consistent with previous information. However, these results could be used as the benchmark of G.711 and G.722 for speech quality assessment within Thai environments.Index Terms-VoIP, speech quality assessment, speech quality evaluation, speech quality measurement, subjective methods, subjective methods tests, G.711, G.722, Thai

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Section: Why Thai Users?mentioning

confidence: 99%

Speech Quality Assessment of VoIP: G.711 VS G.722 Based on Interview Tests with Thai Users

Daengsi¹,

Wutiwiwatchai²,

Preechayasomboon³

et al. 2012

IJITCS

Self Cite

View full text Add to dashboard Cite

show abstract

“…4 (Chompun et al, 2000;Wutiwiwatchai and Furui, 2007). Each graph represents the behavior of fundamental frequency (f0) in a period of syllable time where f0 is the inverse of pitch delay time.…”

Section: Mp-celp Core Codermentioning

confidence: 99%

“…By using the standard speech coder such as CS-ACELP with tonal language, it showed the degraded speech quality when compared to those of toneless language. The reason is that the tone information precision is not enough for tonal language, e.g., (Chompun et al, 2000;Wutiwiwatchai and Furui, 2007).…”

Section: Introductionmentioning

confidence: 99%

High Pitch Delay Resolution Technique for Tonal Language Speech Coding Based on Multi-Pulse Based Code Excited Linear Prediction Algorithm

Chomphan¹

2011

Journal of Computer Science

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Problem statement:In spontaneous speech communication, speech coding is an important process that should be taken into account, since the quality of coded speech depends on the efficiency of the speech coding algorithm. As for tonal language which tone plays important role not only on the naturalness and also the intelligibility of the speech, tone must be treated appropriately. Approach: This study proposes a modification of flexible Multi-Pulse based Code Excited Linear Predictive (MP-CELP) coder with multiple bitrates and bitrate scalabilities for tonal language speech in the multimedia applications. The coder consists of a core coder and bitrate scalable tools. The High Pitch Delay Resolutions (HPDR) are applied to the adaptive codebook of core coder for tonal language speech quality improvement. The bitrate scalable tool employs multi-stage excitation coding based on an embedded-coding approach. The multi-pulse excitation codebook at each stage is adaptively produced depending on the selected excitation signal at the previous stage. Results: The experimental results show that the speech quality of the proposed coder is improved above the speech quality of the conventional coder without pitch-resolution adaptation. Conclusion: From the study, it is a strong evidence to further apply the proposed technique in the speech coding systems or other speech processing technologies.

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“…Tone distortion can deteriorate not only the speech intelligibility but also the speech naturalness as well, since the tone is a suprasegmental feature formed by the basic prosodic feature, i.e., F0 (Wutiwiwatchai and Furui, 2007). Meanwhile the other important basic prosodic features including phrasal pauses, duration and energy can affect the speech naturalness mostly (Chomphan, 2009).…”

Section: Introductionmentioning

confidence: 99%

Improvement of Tone Intelligibility for Average-Voice-Based Thai Speech Synthesis

WAN¹

2012

American Journal of Applied Sciences

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Problem statement: Tone intelligibility in speech synthesis is an important attribute that should be taken into account. The tone correctness of the synthetic speech is degraded considerably in the average-voice-based HMM-based Thai speech synthesis. The tying mechanism in the decision tree based context clustering without appropriate criterion causes unexpected tone neutralization. Incorporation of the phrase intonation to the context clustering process in the training stage was proposed early. However, the tone correctness is not satisfied. Approach: This study proposes a number of tonal features including tone-geometrical features and phrase intonation features to be exploited in the context clustering process of HMM training stage. Results: In the experiments, subjective evaluations of both average voice and adapted voice in terms of the intelligibility of tone are conducted. Effects on decision trees of the extracted features are also evaluated. By considering gender in training speech, two core experiments were conducted. The first experiment shows that the proposed tonal features can improve the tone intelligibility for female speech model above that of male speech model, while the second experiment shows that the proposed tonal features improve the tone intelligibility for gender dependent model than for gender independent model. Conclusion: All of the experimental results confirm that the tone correctness of the synthesized speech from the averagevoice-based HMM-based Thai speech synthesis is significantly improved when using most of the extracted features.

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Thai speech processing technology: A review

Cited by 47 publications

References 45 publications

Speech Quality Assessment of VoIP: G.711 VS G.722 Based on Interview Tests with Thai Users

Speech Quality Assessment of VoIP: G.711 VS G.722 Based on Interview Tests with Thai Users

High Pitch Delay Resolution Technique for Tonal Language Speech Coding Based on Multi-Pulse Based Code Excited Linear Prediction Algorithm

Improvement of Tone Intelligibility for Average-Voice-Based Thai Speech Synthesis

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