AI speech synthesis

Deepgram Aura is an innovative text-to-speech model that delivers voice quality similar to a real human conversation, at a faster and more cost-effective rate than other speech AI solutions. It is suitable for building real-time AI assistants and agents that can interact with humans in a natural way. Aura can be used standalone or in conjunction with Deepgram’s Nova-2 speech-to-text API, providing developers with a complete speech AI platform to help them build the high-throughput, real-time AI assistants of the future.

Personal Voice is a tool for customizing your voice experience. It allows users to replicate their own voice by providing a 1-minute speech sample and generate speech output that supports 100 languages. Users can use personalized voice in voice assistants, games, media entertainment and other scenarios to achieve a more immersive and emotional experience.

EmotiVoice is a powerful, modern open source text-to-speech engine. It supports English and Chinese and has over 2000 different voices. The most notable feature is emotion synthesis, which allows you to create speech with a variety of emotions, including happiness, excitement, sadness, anger, and more. EmotiVoice provides an easy-to-use web interface and also provides a scripting interface for batch generation of results. Main function points include: 1. Support English and Chinese 2. Has more than 2,000 different voices 3. Provide emotional synthesis function Price: Free Positioning: For developers and researchers.

EmoPP is an emotion-aware prosody analysis model that can more accurately mine the emotional cues of speech and predict more appropriate pause positions, thereby improving the emotional expression capabilities of the end-to-end speech synthesis system. This model demonstrates the strong correlation between emotion and prosody analysis through objective observation on ESD data sets. Target evaluation and subjective evaluation results show that the EmoPP model outperforms all baselines and achieves significant results in emotional expression.