Invention Grant
US08818808B2 Unsupervised and active learning in automatic speech recognition for call classification 有权
无监督和主动学习自动语音识别呼叫分类

Unsupervised and active learning in automatic speech recognition for call classification
Abstract:
Utterance data that includes at least a small amount of manually transcribed data is provided. Automatic speech recognition is performed on ones of the utterance data not having a corresponding manual transcription to produce automatically transcribed utterances. A model is trained using all of the manually transcribed data and the automatically transcribed utterances. A predetermined number of utterances not having a corresponding manual transcription are intelligently selected and manually transcribed. Ones of the automatically transcribed data as well as ones having a corresponding manual transcription are labeled. In another aspect of the invention, audio data is mined from at least one source, and a language model is trained for call classification from the mined audio data to produce a language model.
Information query
Patent Agency Ranking
0/0