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Hierarchical prosody modeling for Mandarin spontaneous speech.

Cheng-Hsien Lin1, Chung-Long You1, Chen-Yu Chiang2

  • 1Department of Electrical and Computer Engineering, National Chiao Tung University, Hsinchu 30010, Taiwan, People's Republic of China.

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Summary

A new hierarchical prosody model (HPM) for Mandarin spontaneous speech was developed. This model improves speech recognition accuracy, demonstrating significant error rate reductions across syllable, character, tone, and word recognition tasks.

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Area of Science:

  • Computational Linguistics
  • Speech Processing
  • Phonetics

Background:

  • Prosody plays a crucial role in speech understanding and recognition.
  • Existing models often struggle to capture the complex hierarchical nature of prosody in spontaneous speech.
  • Mandarin spontaneous speech presents unique prosodic challenges due to its tonal nature and disfluencies.

Purpose of the Study:

  • To propose a novel hierarchical prosody model (HPM) for Mandarin spontaneous speech.
  • To investigate the relationship between acoustic features, linguistic information, and hierarchical prosodic structures.
  • To apply the developed HPM to enhance Mandarin spontaneous speech recognition.

Main Methods:

  • Designed a hierarchical prosody model (HPM) to integrate acoustic, linguistic, and prosodic tag features.
  • Employed a sequential optimization algorithm for unsupervised training of the HPM using the Mandarin Conversational Dialogue Corpus (MCDC).
  • Automatically labeled utterances with break and prosodic state tags to represent hierarchical structures.

Main Results:

  • Identified critical prosodic properties of Mandarin spontaneous speech by examining HPM parameters.
  • Mapped prosodic events onto hierarchical structures, enabling detailed prosodic analyses, including disfluencies.
  • Achieved significant relative error rate reductions: 9.0% (base-syllable), 9.2% (character), 15.6% (tone), and 7.3% (word) in speech recognition.

Conclusions:

  • The proposed HPM effectively models hierarchical prosody in Mandarin spontaneous speech.
  • The HPM facilitates a deeper understanding of Mandarin prosodic properties and disfluencies.
  • The HPM demonstrates practical utility in improving the accuracy of Mandarin spontaneous speech recognition systems.