Query-by-example keyword spotting using long short-term memory networks

• Published in: 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pp. 5236 - 5240
• Main Authors: Guoguo Chen, Parada, Carolina, Sainath, Tara N.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.04.2015
• Subjects: Acoustics; Computational modeling; Feature extraction; Hidden Markov models; Noise; Speech; Speech processing

We present a novel approach to query-by-example keyword spotting (KWS) using a long short-term memory (LSTM) recurrent neural network-based feature extractor. In our approach, we represent each keyword using a fixed-length feature vector obtained by running the keyword audio through a word-based LST...