Syllable detection in read and spontaneous speech

Pfitzinger, Hartmut R.; Burger, Susanne; Heid, Sebastian

doi:10.21437/icslp.1996-325

Cited by 4 publications

(2 citation statements)

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“…The temporal locations of pseudosyllabic nuclei are also determined. Interested reader is referred to [5] for syllabification methods and [2] for the concept of pseudosyllables. Pseudosyllables are the basic units from which prosodic feature parameters are extracted and evaluated in this study.…”

Section: Xiandai Hanyu Fanyan Yinku (mentioning

confidence: 99%

Entropy-based Analysis of The Prosodic Features of Chinese Dialects

Ng,

Lee

2008

Int. Symp. On Chinese Spoken Language Processing

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In this paper, a novel approach is proposed to analyze prosodic features of four Chinese dialects: Wu, Cantonese, Min and Mandarin. The ultimate goal is to exploit these features in the task of automatic spoken language identification. Two entropy-based evaluation metrics are formulated to address the problems of data sparseness and lack of speakers. Different prosody-related acoustic features and their combinations are evaluated. F0, F0 gradient and intensity are found to contain the most language-related information. Maximum language-related information are observed in multi-dimensional N-gram features with F0, F0 gradient and syllable position in sentence. There are also some uncertain results that reveal the limitations of the proposed metrics.

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Section: Xiandai Hanyu Fanyan Yinku (mentioning

confidence: 99%

Entropy-based Analysis of The Prosodic Features of Chinese Dialects

Ng,

Lee

2008

Int. Symp. On Chinese Spoken Language Processing

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show abstract

“…1, this window has been centered on each of the peaks in the energy pattern previously found. If these peaks result to be absolute maxima in the window interval, they are marked as syllabic nuclei and the corresponding minima as syllabic boundaries (a similar approach can be found in [5]). After this phase still some insertion or deletion errors may occur in syllable determination and, consequently, some refinement modules have been introduced.…”

Section: Segmentation Into Syllabic Unitsmentioning

confidence: 99%

APA: towards an automatic tool for prosodic analysis

Cutugno,

D’Anna,

Petrillo

et al. 2002

Speech Prosody 2002

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In this paper a tool for the speech signal prosodic analysis is described. The system APA (Automatic Prosodic Analysis) is based on a tool for speech segmentation into syllabic units and on their description in terms of pitch, energy and duration. A particular linear stylization of the fundamental frequency function is proposed, which helps in describing efficiently intonation movements at phrase level. Finally the energy information, together with the f0 information, are used to find intonation boundary markers in order to segment speech into tone units. A general description of the tool is provided and recent results are reported. Future works in this field are also announced.

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Group delay functions and its applications in speech technology

Murthy

Yegnanarayana

2011

Sadhana

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Traditionally, the information in speech signals is represented in terms of features derived from short-time Fourier analysis. In this analysis the features extracted from the magnitude of the Fourier transform (FT) are considered, ignoring the phase component. Although the significance of the FT phase was highlighted in several studies over the recent three decades, the features of the FT phase were not exploited fully due to difficulty in computing the phase and also in processing the phase function. The information in the short-time FT phase function can be extracted by processing the derivative of the FT phase, i.e., the group delay function. In this paper, the properties of the group delay functions are reviewed, highlighting the importance of the FT phase for representing information in the speech signal. Methods to process the group delay function are discussed to capture the characteristics of the vocal-tract system in the form of formants or through a modified group delay function. Applications of group delay functions for speech processing are discussed in some detail. They include segmentation of speech into syllable boundaries, exploiting the additive and high resolution properties of the group delay functions. The effectiveness of segmentation of speech, and the features derived from the modified group delay are demonstrated in applications such as language identification, speech recognition and speaker recognition. The paper thus demonstrates the need to exploit the potential of the group delay functions for development of speech systems.

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Syllable detection in read and spontaneous speech

Cited by 4 publications

References 0 publications

Entropy-based Analysis of The Prosodic Features of Chinese Dialects

Entropy-based Analysis of The Prosodic Features of Chinese Dialects

APA: towards an automatic tool for prosodic analysis

Group delay functions and its applications in speech technology

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