Best Open Source Text-to-Speech (TTS) Solutions

Popular TTS Solutions:

• PiperTTS - A fast, local neural text to speech system optimized for the Raspberry Pi 4.
• VoiceCraft - Zero-Shot Speech Editing and Text-to-Speech.
• Coqui TTS - Known for its German language support and ease of training with voice samples.
• Parler TTS - Offers a library for streaming tokens and potential for emotion conditioned TTS.
• FishSpeech - Known for high quality and good prosody.
• XTTS - Mentioned in various forms and praised for its ease of use and quality output.
• OpenVoice - Fast, high quality, and decent prosody.
• Silero - High quality TTS solution.
• Neuro-sama - A TTS model with unique features.

User Comments on TTS Solutions:

• Coqui TTS (XTTSV2) was chosen for its output quality and ease of training with voice samples.
• Whisper ASR was praised for its speed and quality in speech-to-text.
• Seamless Communication was recommended for its live transcription and translation capabilities.
• Pinokio was suggested as an easy-to-use AI projects store.

Pros and Cons Shared by Users:

• Pros: Ease of use, output quality, language support, ease of training with voice samples.
• Cons: Limited language support, complexity in deployment for some solutions, lack of real-time transcription in some TTS models.

Additional TTS Solutions with User Comments:

• FishSpeech: Described as having very high quality and good prosody.
• HierSpeech++: Known for being super fast with realistic voice cloning.
• GPT-SoVITS-2: Slow but provides realistic output.
• OpenVoice2 from MyShell: Offers high quality output with fast processing.

Recommendations and Further Exploration:

• Metavoice was mentioned as a good option for those with powerful GPUs.
• Parler TTS: Users discussed the potential for emotion conditioning and fine-tuning using specific datasets.
• OpenShell: Mentioned alongside XTTS for potential exploration.

Overall, key points shared by users:

• Ease of use and quality output are important factors in choosing an open-source TTS solution.
• Language support and ease of training with voice samples are also crucial considerations.
• Real-time transcription capability is highlighted as a key feature lacking in some solutions.