Data processing: speech signal processing – linguistics – language – Linguistics – Multilingual or national language support
Reexamination Certificate
2008-01-29
2008-01-29
{hacek over (S)}mits, Talivaldis Ivars (Department: 2626)
Data processing: speech signal processing, linguistics, language
Linguistics
Multilingual or national language support
Reexamination Certificate
active
07324935
ABSTRACT:
The present invention is directed to a method for speech-based information retrieval in Mandarin Chinese, considering a monosyllabic structure of the Chinese language, and a whole class of syllable-based indexing terms, including overlapping segments of syllables and syllable pairs separated by a few syllables. The strong discriminating capabilities of such syllable-based indexing, terms have been verified. Special approaches for better utilizing such capabilities, including fusion with the word- and character-level information and improved approaches to obtain better syllable-based features and query expressions and so on, are disclosed too.
REFERENCES:
Lin-Shan Lee, Bo-Ren Bai, and Lee-Feng Chien “Syllable-Based Relevance Feedback Techniques for Mandarin Voice Record Retrieval Using Speech Queries”, IEEE ICASSP 1997, vol. 2, p. 1459-1462.
Lee-Feng Chien, Hsin-Min Wang, Bo-Ren Bai, and Sun-Chien Lin “A Spoken Access Approach for Chinese Text and Speech Information Retrieval”, J. Am. Soc. for Information Science, vol. 51, No. 4, p. 313-323, Feb. 11, 2000.
Berlin Chen, Hsin-Min Wang, and Lin-Shan Lee. “Discriminating Capabilities of Syllable-Based Features and Approaches of Utilizing Them for Voice Retrieval of Speech Information in Mandarin Chinese,” IEEE Trans. Speech and Audio Processing, vol. 10, No. 5, Jul. 2002.
John H. L. Hansen, et al. “SpeechFind: Advances in Spoken Document Retrieval for a National Gallery of the Spoken Word”, IEEE Trans. Speech and Audio Processing, vol. 13, No. 5, Sep. 2005.
Christensen O'Connor Johnson & Kindness PLLC
{hacek over (S)}mits Talivaldis Ivars
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