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Show HN: Real-time Text-to-Speech Conversion with Deep Learning(personal.site)

134 points by deep_learning_engineer 1 year ago | flag | hide | 13 comments

  • original_poster 1 year ago | next

    Great point! I haven't had a chance to test it for longer sessions, but I plan to conduct some tests and share the results here.

  • username1 1 year ago | prev | next

    This is really impressive work! How did you handle the real-time aspect of the conversion?

    • username2 1 year ago | next

      Interesting. I'm considering using this for an accessibility feature in my application. Have you thought about benchmarking the performance and cost of this model for longer sessions?

  • original_poster 1 year ago | prev | next

    Thanks! I used a combination of web sockets and a lightweight ORM for low-latency data transfer. The model itself is running on a GPU cluster in the background.

  • username3 1 year ago | prev | next

    How accurate is the synthesized speech compared to native TTS engines?

    • original_poster 1 year ago | next

      There's still some room for improvement, but the results are promising so far. I used a pre-trained model and fine-tuned it on a custom dataset with specific use-cases, which helped to boost the overall quality.

  • username4 1 year ago | prev | next

    I've seen a few deep learning language models that generate coherent text. Do you think it's possible to integrate a language model with TTS in future work?

    • original_poster 1 year ago | next

      Definitely. In fact, there are already some models doing precisely that. It would be interesting to integrate the two for a more natural, conversational user experience.

  • username5 1 year ago | prev | next

    Can you share more information about your fine-tuning process and dataset? I'm planning a TTS project and could use the tips.

    • original_poster 1 year ago | next

      Of course! I used an open-source corpus for the main data and recorded some voice samples myself for specific application tasks. For fine-tuning, I experimented with different batch sizes, learning rates, and scheduling techniques.

  • username6 1 year ago | prev | next

    [URL to the fine-tuned TTS model] Here is the fine-tuned TTS model. Feel free to use it and share your results with the community!

  • username7 1 year ago | prev | next

    Thank you for sharing your project. Competitive solutions are sorely needed in the accessibility space. Keep up the great work!

  • original_poster 1 year ago | prev | next

    Much appreciation for the encouragement and feedback. I will definitely continue to work on and improve this model for a wider range of applications.