arXiv:2607.00418v1 Announce Type: new Abstract: This paper presents Speech Playground, an interactive speech visualization and comparison tool. While existing tools such as Praat are excellent, it can be cumbersome to integrate them with modern deep learning representations and use them for comparison. Speech Playground addresses this by combining a Python backend with a web-based frontend for interactive exploration of multiple feature types, including continuous, discrete, and variable-length representations. It includes TextGrid and forced alignment support together with configurable distan
The proliferation of advanced AI in speech processing necessitates better tools for analysis and comparison, which existing solutions like Praat struggle to provide effectively with deep learning representations.
This tool streamlines the analysis and comparison of modern deep learning speech representations, accelerating research and development in AI-driven voice technologies.
Researchers and developers now have a more integrated and interactive platform to visualize and compare various speech features, including continuous, discrete, and variable-length representations.
- · AI researchers (speech)
- · Deep learning engineers
- · Speech technology companies
- · Academic institutions
- · Users relying solely on outdated speech analysis tools
- · Manual speech feature comparison workflows
Accelerated development and refinement of speech AI models due to improved analysis capabilities.
Faster iteration cycles for new speech technologies, leading to more robust and accurate applications.
Enhanced accessibility and usability of complex speech data for a broader range of AI practitioners, potentially democratizing advanced speech research.
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Read at arXiv cs.CL