In-Vehicle Speech and Noise Corpora - Digital Signal Processing for In-Vehicle Systems and Safety - page 148

9.5 Conclusion
This paper summarizes collection efforts of the UTD-VN corpus and the CU-Move
corpus. The UTD-VN corpus includes a rich variety of noise types that are
frequently encountered in car environments. The UTD-VN corpus contains noise
data that reflects the variability in vehicle noise events across different makes and
models of cars, whereas the CU-Move corpus includes the diversity in the car
environments with variations in speech due to task and driving stress. Using the
UTD-VN corpus, a model for car noise was formulated and used to demonstrate the
uniqueness of noise types across different vehicles. The volume, diversity, and real-
world nature of these corpora make it very valuable for researchers exploring in-
vehicle speech technology. The next stage of data collection would be ubiquitous
data collection for in-car environments that would use multiple sensors for aiding
development of integrated multi-input systems that are most suited for in-car
environments.
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