A series of recent publications have highlighted advancements in speech synthesis and audio processing technologies. Notably, 'CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language Models' has been introduced by researchers from Alibaba. This model enhances multilingual speech synthesis by utilizing supervised discrete speech tokens and incorporates finite-scalar quantization to optimize codebook utilization. The improvements aim to facilitate real-time, interactive applications. Other notable works include 'CSSinger: End-to-End Chunkwise Streaming Singing Voice Synthesis System Based on Conditional Variational Autoencoder' and 'JEN-1 Composer: A Unified Framework for High-Fidelity Multi-Track Music Generation.' These developments reflect ongoing innovations in the fields of audio technology and machine learning, as researchers explore new methods for enhancing voice and music synthesis.
``CoVoMix: Advancing Zero-Shot Speech Generation for Human-like Multi-talker Conversations,'' Leying Zhang, Yao Qian, Long Zhou, Shujie Liu, Dongmei Wang, Xiaofei Wang, Midia Yousefi, Yanmin Qian, Jinyu Li, Lei He, Sheng Zhao, Michael Zeng, https://t.co/RLyOAGCH9C
``Towards High-Quality and Efficient Speech Bandwidth Extension with Parallel Amplitude and Phase Prediction,'' Ye-Xin Lu, Yang Ai, Hui-Peng Du, Zhen-Hua Ling, https://t.co/9cafsb6jFb
``Hidden Echoes Survive Training in Audio To Audio Generative Instrument Models,'' Christopher J. Tralie, Matt Amery, Benjamin Douglas, Ian Utz, https://t.co/s0KA71aoOs