8th European Conference on Speech Communication and Technology

Geneva, Switzerland
September 1-4, 2003


Comparative Experiments to Evaluate the Use of Auditory-Based Acoustic Distinctive Features and Formant Cues for Robust Automatic Speech Recognition in Low-SNR Car Environments

Hesham Tolba, Sid-Ahmed Selouani, Douglas O'Shaughnessy

Universite du Quebec, Canada

This paper presents an evaluation of the use of some auditory-based distinctive features and formant cues for robust automatic speech recognition (ASR) in the presence of highly interfering car noise. Comparative experiments have indicated that combining the classical MFCCs with some auditory-based acoustic distinctive cues and either the main formant magnitudes or the formant frequencies of a speech signal using a multi-stream paradigm leads to an improvement in the recognition performance in noisy car environments. To test the use of the new multi-stream feature vector, a series of experiments on speaker-independent continuous-speech recognition have been carried out using a noisy version of the TIMIT database. Using such multi-stream paradigm, we found that the use of the proposed paradigm, outperforms the conventional recognition process based on the use of the MFCCs in interfering noisy car environments for a wide range of SNRs.

Full Paper

Bibliographic reference.  Tolba, Hesham / Selouani, Sid-Ahmed / O'Shaughnessy, Douglas (2003): "Comparative experiments to evaluate the use of auditory-based acoustic distinctive features and formant cues for robust automatic speech recognition in low-SNR car environments", In EUROSPEECH-2003, 3085-3088.