The aurora experimental framework for the performance evaluation of speech recognition systems under noisy conditions

@inproceedings{Pearce2000TheAE,
  title={The aurora experimental framework for the performance evaluation of speech recognition systems under noisy conditions},
  author={David Pearce and Hans-G{\"u}nter Hirsch},
  booktitle={INTERSPEECH},
  year={2000}
}
This paper describes a database designed to evaluate the performance of speech recognition algorithms in noisy conditions. The database may either be used for the evaluation of front-end feature extraction algorithms using a defined HMM recognition back-end or complete recognition systems. The source speech for this database is the TIdigits, consisting of connected digits task spoken by American English talkers (downsampled to 8kHz) . A selection of 8 different real-world noises have been added… CONTINUE READING

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