Is word-to-phone mapping better than phone-phone mapping for handling English words?
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Speech SynthesisSimilar Papers 제목 키워드 기반
Phoneme-Based Contextualization for Cross-Lingual Speech Recognition in End-to-End Models
Contextual automatic speech recognition, i.e., biasing recognition towards a given context (e.g. user's playlists, or contacts), is challenging in end-to-end (E2E) models. Such models maintain a limited number of candida…
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In machine lip-reading there is continued debate and research around the correct classes to be used for recognition. In this paper we use a structured approach for devising speaker-dependent viseme classes, which enables…
Lip ReadingPhoneme RecognitionPhoneme-to-viseme mappings: the good, the bad, and the ugly
Visemes are the visual equivalent of phonemes. Although not precisely defined, a working definition of a viseme is "a set of phonemes which have identical appearance on the lips". Therefore a phoneme falls into one visem…
LEARNING PHONEME-LEVEL DISCRETE SPEECH REPRESENTATION WITH WORD-LEVEL SUPERVISION
Phonemes are defined by their relationship to words: changing a phoneme changes the word. Learning a phoneme inventory with little supervision has been a long-standing challenge with important applications to under-reso…
Representation LearningSelf-Supervised LearningPWESuite: Phonetic Word Embeddings and Tasks They Facilitate
Mapping words into a fixed-dimensional vector space is the backbone of modern NLP. While most word embedding methods successfully encode semantic information, they overlook phonetic information that is crucial for many t…
RetrievalWord Embeddings