Posts by Tags

ML

Speech Tokenizers

1 minute read

Published:

Speech tokenizer, as the name suggests, is to convert continous speech waveform into discrete tokens (usually called units). It bridges the gap between speech and text representations, also simplifying the manipulation of speech signals.

Speech Language Models

5 minute read

Published:

With the popularity of language modeling, there have been many advances in speech language models leveraing their in-context learning capability in speech synthesis.

Voice Synthesis

6 minute read

Published:

Speech synthesis with controllable voice is a challenging task.

NLP

Speech Tokenizers

1 minute read

Published:

Speech tokenizer, as the name suggests, is to convert continous speech waveform into discrete tokens (usually called units). It bridges the gap between speech and text representations, also simplifying the manipulation of speech signals.

Speech Language Models

5 minute read

Published:

With the popularity of language modeling, there have been many advances in speech language models leveraing their in-context learning capability in speech synthesis.

Voice Synthesis

6 minute read

Published:

Speech synthesis with controllable voice is a challenging task.

Speech

Speech Tokenizers

1 minute read

Published:

Speech tokenizer, as the name suggests, is to convert continous speech waveform into discrete tokens (usually called units). It bridges the gap between speech and text representations, also simplifying the manipulation of speech signals.

Speech Language Models

5 minute read

Published:

With the popularity of language modeling, there have been many advances in speech language models leveraing their in-context learning capability in speech synthesis.

Voice Synthesis

6 minute read

Published:

Speech synthesis with controllable voice is a challenging task.