Noise-robust speech recognition with exemplar-based sparse representations using Alpha-Beta divergence.
Emre YilmazJort F. GemmekeHugo Van hammePublished in: ICASSP (2014)
Keyphrases
- speech recognition
- noisy environments
- sparse representation
- alpha beta
- dictionary learning
- automatic speech recognition
- hidden markov models
- language model
- speech recognition systems
- speech signal
- evaluation function
- pattern recognition
- game tree
- dimensionality reduction
- image classification
- background noise
- tree search
- noise reduction
- search algorithm
- signal processing
- high dimensional data
- associative memory
- speech enhancement
- face recognition
- image representation
- computer vision
- information retrieval
- lower bound
- data mining
- gaussian noise
- feature extraction
- signal to noise ratio
- object recognition
- feature space