Noise-Robust Speech Recognition Through Auditory Feature Detection and Spike Sequence Decoding

DOI10.1162/NECO_a_00557zbMath1415.94219WikidataQ47821721 ScholiaQ47821721MaRDI QIDQ5378334

Phillip B. Schafer, D. Z. Jin

Publication date: 12 June 2019

Published in: Neural Computation (Search for Journal in Brave)

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Uses Software

• rastamat

Cites Work

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• Phoneme recognition using ICA-based feature extraction and transformation
• Isolated word recognition with the Liquid State Machine: a case study
• The spectro-temporal receptive field. A functional characteristic of auditory neurons
• Sparse spectrotemporal coding of sounds
• Robust automatic speech recognition with missing and unreliable acoustic data
• Efficient Coding of Time-Relative Structure Using Spikes
• A survey of hybrid ANN/HMM models for automatic speech recognition

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