Digital Signal Processing Reference
In-Depth Information
Chapter 12
VERBKEY
-
A SINGLE
-
CHIP SPEECH
CONTROL FOR THE AUTOMOBILE
ENVIRONMENT
Rico Petrick
1
, Diane Hirschfeld
1
, Thomas Richter
1
, Rüdiger Hoffmann
2
1
voice INTER connect GmbH,Dresden, Germany.
2
Laboratory of Acoustics and Speech
Communication, Dresden University of Technology, Germany
Email: petrick@voiceinterconnect.de
Abstract:
The article deals with a novel speech recognizer technology which has the
potential to overcome some problems of in-car speech control. The
verbKEY
recognizer bases on the Associative-Dynamic (ASD) algorithm which differs
from established techniques as HMM or DTW. The speech recognition
technology is designed to run on a 16 bit, fixed point DSP platform. It enables
high recognition performance and robustness. At the same time, it is highly
cost efficient due to its low memory consumption and its less calculation
complexity. Typical applications such as dialling, word spotting or menu
structures for the device control are processed by the continuous, real-time
recognition engine with an accuracy higher 98% for a 20 words vocabulary.
The article describes a hardware prototype for command & control
applications and the measures taken to improve the robustness against
environmental noises. Finally, the authors discuss some ergonomic aspects to
obtain a higher level of traffic safety.
Keywords:
Automatic
speech
recognition,
Associative-Dynamic classifier
(ASD),
robustness, telephone application, discriminative optimization
1.
IN-CAR SPEECH CONTROL - REQUIREMENTS
AND ISSUES
Controlling in-car devices and hands-free communication by speech
commands is a major safety issue in modern cars. Speech control definitely
decreases the information load of the driver so that he can dedicate his
