Quantifying and Maximizing the Benefits of Back-End Noise Adaption on Attention-Based Speech Recognition Models.
Coleman HooperThierry TambeGu-Yeon WeiPublished in: CoRR (2021)
Keyphrases
- speech recognition
- back end
- noisy environments
- hidden markov models
- pattern recognition
- language model
- speech recognition technology
- probabilistic model
- automatic speech recognition
- speech processing
- speech recognizer
- acoustic models
- speaker identification
- speech retrieval
- user friendly
- signal to noise ratio
- noise reduction
- bayesian networks
- artificial intelligence
- background noise
- speaker recognition
- cepstral coefficients
- database