Utilizing Untranscribed User Utterances for Improving Language Models based on Confidence Scoring

Using untranscribed user utterances for improving language models based on confidence scoring

This paper presents a method for reducing the effort of transcribing user utterances to develop language models for conversational speech recognition when a small number of transcribed and a large number of untranscribed utterances are available. The recognition hypotheses for untranscribed utterances are classified according to their confidence scores such that hypotheses with high confidence ...

Confidence Scoring for Speech Understanding Systems1

This research investigates the use of utterance-level features for confidence scoring. Confidence scores are used to accept or reject user utterances in our conversational weather information system [10]. We have developed an automatic labeling algorithm based on a semantic frame comparison between recognized and transcribed orthographies. We explore recognition-based features along with semant...

Active and unsupervised learning for automatic speech recognition

State-of-the-art speech recognition systems are trained using human transcriptions of speech utterances. In this paper, we describe a method to combine active and unsupervised learning for automatic speech recognition (ASR). The goal is to minimize the human supervision for training acoustic and language models and to maximize the performance given the transcribed and untranscribed data. Active...

Active and Unsupervised Learning for A

State-of-the-art speech recognition systems are trained using human transcriptions of speech utterances. In this paper, we describe a method to combine active and unsupervised learning for automatic speech recognition (ASR). The goal is to minimize the human supervision for training acoustic and language models and to maximize the performance given the transcribed and untranscribed data. Active...

A Comparative Study on the Effect of the Formative Use of Confidence-Based Scoring and Conventional Scoring on Iranian EFL Learners’ Grammar Improvement