ISCA Archive ICSLP 1994
ISCA Archive ICSLP 1994

A keyword-spotting unit for speaker-independent spontaneous speech recognition

Yasuyuki Masai, Jun'Ichi Iwasaki, Shin'Ichi Tanaka, Tsuneo Nitta, Masahiro Yao, Tomohiro Onogi, Akira Nakayama

In this paper, we describe a real-time keyword-spotting unit (KeySpot) with an adaptive noise-canceller for speaker-independent, spontaneous speech recognition in noisy environments. KeySpot consists of a DSP (TMS320C30) for adaptive noise-cancellation and acoustic analysis, a special LSI for statistical matrix quantization (SMQ), two SPARC chips ('SPARC1' and 'SPARC2') for HMM based keyword-spotting, and a SPARC chip ('SPARC3') for syntactic analysis. KeySpot was tested under two conditions: a speaker-independent large-vocabulary isolated word recognizer, and a speaker-independent small-vocabulary word spotter. Evaluation results have shown that KeySpot can be used for the speaker-independent, 1000 isolated word recognizer with an accuracy of 96.3%, as well as the 90 word vocabulary word spotter with an accuracy of 94.4% with a response time of 0.3 sec.


Cite as: Masai, Y., Iwasaki, J., Tanaka, S., Nitta, T., Yao, M., Onogi, T., Nakayama, A. (1994) A keyword-spotting unit for speaker-independent spontaneous speech recognition. Proc. 3rd International Conference on Spoken Language Processing (ICSLP 1994), 1383-1386

@inproceedings{masai94_icslp,
  author={Yasuyuki Masai and Jun'Ichi Iwasaki and Shin'Ichi Tanaka and Tsuneo Nitta and Masahiro Yao and Tomohiro Onogi and Akira Nakayama},
  title={{A keyword-spotting unit for speaker-independent spontaneous speech recognition}},
  year=1994,
  booktitle={Proc. 3rd International Conference on Spoken Language Processing (ICSLP 1994)},
  pages={1383--1386}
}