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A Single-Chip Speech Dialogue Module and Its Evaluation on a Personal Robot, PaPeRo-Mini

Miki SATO, Toru IWASAWA, Akihiko SUGIYAMA, Toshihiro NISHIZAWA, Yosuke TAKANO

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Summary :

This paper presents a single-chip speech dialogue module and its evaluation on a personal robot. This module is implemented on an application processor that was developed primarily for mobile phones to provide a compact size, low power-consumption, and low cost. It performs speech recognition with preprocessing functions such as direction-of-arrival (DOA) estimation, noise cancellation, beamforming with an array of microphones, and echo cancellation. Text-to-speech (TTS) conversion is also equipped with. Evaluation results obtained on a new personal robot, PaPeRo-mini, which is a scale-down version of PaPeRo, demonstrate an 85% correct rate in DOA estimation, and as much as 54% and 30% higher speech recognition rates in noisy environments and during robot utterances, respectively. These results are shown to be comparable to those obtained by PaPeRo.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E93-A No.1 pp.261-271
Publication Date
2010/01/01
Publicized
Online ISSN
1745-1337
DOI
10.1587/transfun.E93.A.261
Type of Manuscript
PAPER
Category
Digital Signal Processing

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