Acoustical Sound Database in Real Environments for Sound Scene Understanding and Hands-Free Speech Recognition

By Satoshi Nakamura, K. Hiyane, F. Asano, T. Nishiura, Takeshi Yamada. International Conference on Language Resources and Evaluation, 2000

305 citations recorded by the source corpus.

LREC2000: the 2nd International Conference on Language Resources and Evaluation, May 31 - June 2, 2000, Athens, Greece.

Subfields: Artificial Intelligence, Signal Processing

View Paper: https://www.semanticscholar.org/paper/414651bbf1520c560ea34175d98b4d688e08e0d9

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Citations in the corpus

JHU ASpIRE system: Robust LVCSR with TDNNS, iVector adaptation and RNN-LMS (2015, methodology): “Multi-condition training data was created by distorting speech with real world room impulse response (RIR) and noise recordings available from three different databases viz., the RWCP sound scene database 3 [15], the REVERB challenge database [16] and the Aachen impulse response database [17].”
Efficient Knowledge Distillation from an Ensemble of Teachers (2017, unknown): “The corpora is further augmented with realistic environmental noises from the JEIDA corpus [17] and impulse responses from RWCP [18] at various SNRs between 5 to 20 dB. CNN based acoustic models are trained on this multi-condition training set with 40 dimensional log Mel-frequency spectra augmented ”
A Consolidated Perspective on Multimicrophone Speech Enhancement and Source Separation (2017, unknown): “RWCP [283]9 364 84 7 1 9 no no SiSEC [284]10 ∼50 2 5 1 ∼20 no no AIR [41]11 214 2 8 1 13 no no Binaural RIR [285]12 2920 8 5 1 365 yes yes CAMIL [266]13 32400 2 1 16200 1 yes no CHiME2 [286]14 242 2 1 1 121 yes yes RIRDB [287]15 1872 24 3 3 26 no no”
A study on data augmentation of reverberant speech for robust speech recognition (2017, methodology): “The set of real RIRs (R) is composed of three databases: the RWCP sound scene database [8], the REVERB challenge database [9] and the Aachen impulse response database [10].”
Determined Blind Source Separation Unifying Independent Vector Analysis and Nonnegative Matrix Factorization (2016, methodology): “In the music signal case, the observed signals were produced by convoluting the impulse response E2A or JR2, which was obtained from the RWCP database [39], with each source.”
Stable and fast update rules for independent vector analysis based on auxiliary function technique (2011, unknown): “(37)”