In-Vehicle Speech and Noise Corpora - Digital Signal Processing for In-Vehicle Systems and Safety - page 136

Chapter 9
In-Vehicle Speech and Noise Corpora
Nitish Krishnamurthy, Rosarita Lubag, and John H.L. Hansen
Abstract As in-vehicle speech systems become prevalent, there is a need for
specific compilation of data in vehicle scenarios to develop/benchmark algorithms
for speech systems. This paper describes the collection efforts and analysis of two
corpora: (1) the UT-Dallas Vehicle Noise (UTD-VN) corpora and (2) the CU-Move
in-car speech and noise corpora. The UTD-VN corpus is focused on addressing the
variability of in-car noise environments. This corpus includes compilation of
unique noise scenarios within the car (Engine idling, AC windows closed, etc.) as
well as variability of these scenarios across different makes and models. Another
aspect that in-car speech systems need to address along with noise is the emotional
and task stress of the driver while performing the driving task. The CU-Move
corpus focuses on collection of data to describe the variability of conversational
speech in an in-car environment. A sample study is carried out where it is shown
that these environments are unique across different vehicles using the UT-Dallas
Vehicle Noise corpora. This shows that a detailed analysis of variability across
vehicle platforms is necessary for successful deployment of speech systems. In our
opinion, these corpora are the first to describe the environment variability along
with conversational speech in an in-car environment.
Keywords Car noise • command and control • Enhancement • Environment
variability • Environmental noise • Navigation • Speech • Speech recognition •
Speech systems • Stress
N. Krishnamurthy ( * )
University of Texas at Dallas, Richardson, USA
Texas Instruments, Dallas, USA
e-mail: [e-mail]
R. Lubag • J.H.L. Hansen
University of Texas at Dallas, Richardson, USA
e-mail: [e-mail]