Speech Token

Speech tokens represent discrete units of speech, analogous to words in text, used in various speech processing tasks. Current research focuses on optimizing their generation and utilization within large language models (LLMs) for applications like text-to-speech synthesis, speech enhancement, and dysfluency detection, often employing transformer architectures and techniques like beam search and loss functions tailored to speech data. These advancements improve the quality, naturalness, and robustness of speech-related AI systems, impacting fields ranging from human-computer interaction to accessibility technologies. The development of effective speech tokenization methods is crucial for bridging the gap between human speech and machine understanding.