A Real Time Noise-Robust Speech Recognition System
| Paper File | Download Paper File | | Appear In | ECTI Transaction CIT (ECTI Transaction CIT) | | Publication Date | 01/11/2005 - 30/11/2005 | | Volume | 1 | | Pages | 75 - 83 | | No | 2 | | Author 1 | Naoya Wada | | Author 2 | Shingo Yoshizawa | | Author 3 | Yoshikazu Miyanaga |
Abstract
This paper introduces the extraction of speech
features realizing noise robustness for speech recognition.
It also explores advanced speech analysis
techniques named RSF (Running Spectrum Filtering)/
DRA (Dynamic Range Adjustment) in detail.
The new experiments on phase recognition were carried
out using 40 male and female speakers for training
and 5 other male and female speakers for recognition.
The result of recognition rate is improved from
17% to 63% under car noise at -10dB SNR for example.
It shows the high noise robustness of the proposed
system. In addition, the new parallel/pipelined
LSI design of the system is proposed. It considerably
reduces the calculation time. Using this architecture,
the real time speech recognition can be developed.
For this system, both of full-custom LSI design and
FPGA design are introduced. |
