On March 19, an open source text-to-speech (TTS) model called Orpheus TTS was officially unveiled. This model quickly attracted attention with its close to human emotional expression, natural and smooth voice effects, and ultra-low latency real-time output stream characteristics. It is reported that Orpheus TTS performs well in real-time dialogue scenarios and is expected to bring new breakthroughs to intelligent voice interaction.
Orpheus TTS focuses on low latency and high emotional expression. Its core features include: ultra-low latency, with a default latency of about 200 milliseconds. Through the KV cache optimization of the input stream and model, the delay can be compressed to 25-50 milliseconds to meet the needs of real-time conversations; emotional expression and voice output are natural and smooth, which can be close to human emotions, support rich intonation changes, and improve interactive experience; real-time output streams support streaming audio generation to ensure that voice generation and input are synchronized, and are suitable for scenarios such as virtual assistants, customer service systems.
Thanks to its low latency and high naturalness characteristics, Orpheus TTS is considered to have broad potential in the real-time conversation field. Whether it is smart voice assistant, online education, or dubbing of virtual anchors and game characters, this model can provide a more humane voice interaction experience. In addition, its open source nature also provides developers with more customization possibilities.
With the combination of emotional expression, natural effects and ultra-low latency, Orpheus TTS marks a new height for TTS technology. It not only improves the quality of speech synthesis, but also opens up a new situation for dynamic interactive scenarios through real-time output streams. In the future, this model may become a benchmark in the field of open source TTS.
Address: https://github.com/canopyai/Orpheus-TTS