# Speech Playground: An Interactive Tool for Speech Analysis and Comparison

arXiv: https://arxiv.org/abs/2607.00418 · HTML: https://mlsanity.com/paper/2607.00418/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 2 of its 3 references that are in the map.
- First posted on arXiv 1 Jul 2026.

## Builds on (most cited first, 2 of 2)

- [[b] = [d] - [t] + [p]: Self-supervised Speech Models Discover Phonological Vector Arithmetic](https://mlsanity.com/paper/2602.18899/) (2026)
- [ZeroSyl: Simple Zero-Resource Syllable Tokenization for Spoken Language Modeling](https://mlsanity.com/paper/2602.15537/) (2026)

## Built on by (most cited first, 1 of 1)

- [Phone Segmentation and Recognition through Phonological Activation Mapping](https://mlsanity.com/paper/2607.09020/) (2026)

## Abstract (arXiv)

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 distance and alignment settings for visual and auditory comparison. Speech Playground is intended for use in speech research, representation validation, and computer-aided pronunciation training (CAPT)-oriented experimentation.