Improving Automatic Speech Recognition by Classifying Adult and Child Speakers into Separate Groups using Speech Rate Rhythmicity Parameter.
S. ShahnawazuddinTarun Sai BandarupalliR. ChakravarthyPublished in: SPCOM (2020)
Keyphrases
- automatic speech recognition
- speech recognition
- speech signal
- word error rate
- hidden markov models
- speaker adaptation
- language model
- broadcast news
- speech recognizer
- speech corpus
- pattern recognition
- speech synthesis
- conversational speech
- noisy environments
- spontaneous speech
- formant frequencies
- speaker identification
- speaker dependent
- speaker independent
- speech retrieval
- speech recognizers
- speech sounds
- recognition errors
- acoustic features
- spoken words
- word recognition
- speech recognition systems
- phoneme recognition
- handwriting recognition
- computer vision
- speech segments
- machine learning
- multiscale
- image processing