Sharing Low Rank Conformer Weights for Tiny Always-On Ambient Speech Recognition Models.
Steven M. HernandezDing ZhaoShaojin DingAntoine BruguierRohit PrabhavalkarTara N. SainathYanzhang HeIan McGrawPublished in: CoRR (2023)
Keyphrases
- speech recognition
- low rank
- linear combination
- hidden markov models
- language model
- matrix factorization
- speech synthesis
- low rank matrix
- missing data
- automatic speech recognition
- acoustic models
- speech recognition systems
- speech recognizer
- matrix completion
- convex optimization
- singular value decomposition
- speech signal
- speaker identification
- high dimensional data
- pattern recognition
- bayesian networks
- rank minimization
- computer vision
- approximation methods
- mixture model
- trace norm
- neural network