Unsupervised Active Learning: Optimizing Labeling Cost-Effectiveness for Automatic Speech Recognition.
Zhisheng ZhengZiyang MaYu WangXie ChenPublished in: CoRR (2023)
Keyphrases
- automatic speech recognition
- cost effectiveness
- active learning
- cost effective
- semi supervised
- supervised learning
- speech recognition
- unsupervised learning
- speech signal
- active learning strategies
- hidden markov models
- word error rate
- learning algorithm
- speech retrieval
- conversational speech
- broadcast news
- labeled data
- machine learning
- e learning
- spoken words
- unlabeled data
- sample selection
- noisy environments
- relevance feedback
- labeling effort
- acoustic features
- recognition errors
- training set
- word recognition
- active learning framework
- language model
- low cost
- spontaneous speech
- learning process
- compound words