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Experiments on different feature sets; comparison with DC baseline system

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

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Experiments on different feature sets; comparison with DC baseline system

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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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