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Experiments and Innovations: Feature Set Comparisons in Speech Recognition at RESPIITE Workshop 2001

The RESPIITE workshop held in Martigny from January 25-27, 2001, showcased various experiments focusing on feature sets in speech recognition and their effectiveness compared to the DC baseline system. Attendees explored multi-condition training techniques, including nonlinear spectral subtraction (NSPS), vocal tract length normalization (VTN), and MFCC features with cepstral mean normalization. Demonstrator strategies aimed to highlight advancements in speech recognition technology and the integration of new techniques, facilitating discussions about potential user applications and future developments.

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Experiments and Innovations: Feature Set Comparisons in Speech Recognition at RESPIITE Workshop 2001

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  1. Experiments on AURORA 2000 database: RESPITE workshop Jan.25-27 2001 Martigny • Features of DC baseline system: • training on N1 ... N4 sets (multi-condition training) • NSPS (nonlinear spectral subtraction) • VTN (vocaltract length normalization) • MFCC features with cepstral mean normalization • „cepstral“ interface: Experiments on different feature sets; comparison with DC baseline system „cepstral“ interface preprocessing, feature extraction SCHMM recognizer „cepstral“ data files Joan Mari Hilario Fritz Class

  2. Comparison DC-baseline / ICSI-Tandem features RESPITE workshop Jan.25-27 2001 Martigny % WER Experiments on different feature sets; comparison with DC baseline system Joan Mari Hilario Fritz Class

  3. Comparison DC-baseline / ICSI-Tandem features RESPITE workshop Jan.25-27 2001 Martigny Experiments on different feature sets; comparison with DC baseline system Joan Mari Hilario Fritz Class

  4. Comparison DC-baseline / FPM‘s RESPITE workshop Jan.25-27 2001 Martigny • FPM‘s: word models trained on clean speech • DC: word models multi-condition training % WER Experiments on different feature sets; comparison with DC baseline system Joan Mari Hilario Fritz Class

  5. Comparison DC-baseline / FPM‘s RESPITE workshop Jan.25-27 2001 Martigny • FPM‘s: word models trained on clean speech • DC: word models multi-condition training Experiments on different feature sets; comparison with DC baseline system Joan Mari Hilario Fritz Class

  6. RESPITE demonstrators RESPITE workshop Jan.25-27 2001 Martigny • Statements: • our demonstrator strategy: „show project achivements (possibility of online application of the new techniques), not commercially relevant“!! • a demonstrator makes sence only, if there are better techniques than in the baseline system==> if we have really found such techniques (compared to the baseline system in offline simulations), we can build a demonstrator • a full integration of the new techniques means a redesign of the complete system ==> not possible within RESPITE ==> combination of different modules (processes) via interfaces (files) or using DLL‘s under windows • a demonstration could be done e.g. in a car using a laptop Discussion about demonstrators Fritz Class

  7. architecture 1 TANDEM feature vectors PLP Feature calculation Neural net classifier DC-system MSG file with „cep“-features process 1 process 2 architecture 2 TANDEM feature vectors Feature calculation (ICSI-software, TANDEM‘s) DC-system 1 process under Windows NT possible demonstration system: TANDEM features with DC system RESPITE workshop Jan.25-27 2001 Martigny Discussion about demonstrators Fritz Class

  8. RESPITE demonstrators RESPITE workshop Jan.25-27 2001 Martigny • Questions: • sources (ICSI) for TANDEM features ? • missing data demonstrator ? • What are „potential users with respect to the demonstrators“? • Is anywhere a online system available ? Portable? Under which system? Discussion about demonstrators Fritz Class

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