# Text-to-audio

TangoFlux is an efficient text-to-audio (TTA) generation model with 515M parameters, capable of generating up to 30 seconds of 44.1kHz audio in just 3.7 seconds on a single A40 GPU. The model introduces the CLAP-Ranked Preference Optimization (CRPO) framework to address the alignment challenges of TTA models, enhancing TTA alignment through iterative generation and optimization of preference data. TangoFlux achieves state-of-the-art performance in both objective and subjective benchmark tests, and all code and models are open-source to support further research in TTA generation.

Quwan Qianyin is a website offering AI voice generation services that can convert text into professional-level audio. This product not only perfectly replicates the acoustic features of target voices but also maintains rich emotions and rhythms. Users can freely adjust settings such as age, emotion, accent, and content to meet personalized needs, allowing the voice to convey value. Background information indicates that Quwan Qianyin is developed by Guangzhou Quchuang Network Technology Co., Ltd., supporting multilingual synthesis and video translation, making it suitable for users who need personalized voice synthesis and video translation services.

Make-An-Audio 2 is a text-to-audio generation technology based on diffusion models, co-developed by researchers from Zhejiang University, ByteDance, and the Chinese University of Hong Kong. This technology utilizes pre-trained large language models (LLMs) to parse text, optimizing for semantic alignment and temporal consistency, thereby improving the quality of generated audio. It also incorporates a feed-forward Transformer-based diffusion denoiser to enhance performance in generating variable-length audio and bolster the extraction of temporal information. Furthermore, by leveraging LLMs to convert abundant audio label data into audio-text datasets, the issue of time data scarcity is addressed.