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Speech Tokenization

Speech tokenization is the task of representing speech signals as a sequence of discrete units. Such representations can be later used for various downstream tasks including automatic speech recognition, text-to-speech, etc. Such representation serves as the basis of Speech Language Models.

Papers

Showing 110 of 21 papers

TitleStatusHype
LM-SPT: LM-Aligned Semantic Distillation for Speech Tokenization0
Factorized RVQ-GAN For Disentangled Speech Tokenization0
Audio Jailbreak Attacks: Exposing Vulnerabilities in SpeechGPT in a White-Box FrameworkCode1
Exploring the Effect of Segmentation and Vocabulary Size on Speech Tokenization for Speech Language Models0
Impact of Frame Rates on Speech Tokenizer: A Case Study on Mandarin and English0
TASTE: Text-Aligned Speech Tokenization and Embedding for Spoken Language ModelingCode2
UniWav: Towards Unified Pre-training for Speech Representation Learning and Generation0
Recent Advances in Discrete Speech Tokens: A Review0
BEST-STD: Bidirectional Mamba-Enhanced Speech Tokenization for Spoken Term DetectionCode0
DC-Spin: A Speaker-invariant Speech Tokenizer for Spoken Language Models0
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