3 accepted papers
Previous work has shown that for low-resource source languages, automatic speech-to-text translation (AST) can be improved by pre-training an end-to-end model on automatic speech recognition (ASR) data from a high-resource language. However, it is not clear what factors - e.g., language relatedness…
Given a large amount of unannotated speech in a low-resource language, can we classify the speech utterances by topicƒ We consider this question in the setting where a small amount of speech in the low-resource language is paired with text translations in a high-resource language. We develop an effe…
Recent work on unsupervised term discovery (UTD) aims to identify and cluster repeated word-like units from audio alone. These systems are promising for some very low-resource languages where transcribed audio is unavailable, or where no written form of the language exists. However, in some cases it…