Digital Signal Processing Reference
In-Depth Information
Chapter
2
CU-MOVE: ADVANCED IN-VEHICLE SPEECH
SYSTEMS FOR ROUTE NAVIGATION
1
John H.L. Hansen, Xianxian Zhang, Murat Akbacak, Umit H. Yapanel,
Bryan Pellom, Wayne Ward, Pongtep Angkititrakul
Robust Speech Processing Group, Center for Spoken Language Research,
University of Colorado at Boulder, Boulder, Colorado 80309-0594, USA
Email: John.Hansen@colorado. edu
Abstract:
In this chapter, we present our recent advances in the formulation and
development of an in-vehicle hands-free route navigation system. The system is
comprised of a multi-microphone array processing front-end, environmental
sniffer (for noise analysis), robust speech recognition system, and dialog
manager and information servers. We also present our recently completed
speech corpus for in-vehicle interactive speech systems for route planning and
navigation. The corpus consists of five domains which include: digit strings,
route navigation expressions, street and location sentences, phonetically
balanced sentences, and a route navigation dialog in a human Wizard-of-Oz like
scenario. A total of 500 speakers were collected from across the United States
of America during a six month period from April-Sept. 2001. While previous
attempts at in-vehicle speech systems have generally focused on isolated
command words to set radio frequencies, temperature control, etc., the CU-
Move system is focused on natural conversational interaction between the user
and in-vehicle system. After presenting our proposed in-vehicle speech system,
we consider advances in multi-channel array processing, environmental noise
1
This work was supported in part by DARPA through SPAWAR under Grant No. N66001-002-8906, from
SPAWAR under Grant No. N66001-03-1-8905, in part by NSF under Cooperative Agreement No. IIS-
9817485, and in part by CSLR Center Member support from Motorola, HRL, Toyota CR&D, and
CSLR Corpus Member support from SpeechWorks, Infinitive Speech Systems (Visteon Corp.),
Mitsubishi Electric Research Lab, Panasonic Speech Technology Lab, and VoiceSignal Technologies.
