3 accepted papers
Limited transcribed spoken style data is a critical bottleneck in building automatic speech recognition (ASR) systems for low-resource languages. Prompting a large language model (LLM) to paraphrase input text can generate novel text data that is constrained to be semantically similar to the source…
Although neural language models have emerged, n-gram language models are still used for many speech recognition tasks. This paper proposes four methods to improve n-gram language models using text generated from a recurrent neural network language model (RNNLM). First, we use multiple RNNLMs from di…
Monaural (single-channel) recording is sometimes used for telephone conversations in call centers. Generally speaking, the accuracy of automatic speech recognition of a monaural recording is worse than that of the multi-channel recording of the same conversation where each speaker's voice is separat…