# Audio Speech Intelligibility Score

Estimate speech clarity from level, noise separation, reverberant tails, high-frequency presence, clipping, and speech-band energy.

> Canonical page: https://elysiatools.com/en/tools/audio-speech-intelligibility-score

- **Category:** Media

- **Keywords:** speech intelligibility, speech clarity, audio quality, snr, clipping, reverb, voice

## Overview

This is an explainable heuristic quality score, not an STI/STIPA measurement and not a transcription accuracy guarantee. It analyzes active speech-range windows, estimates the signal-to-noise separation from quieter windows, checks clipped samples, and combines six component scores. Use it to compare recording versions or flag risks before publication, then listen to the source for final approval.

## Inputs

- **Audio File** (file): Select speech, lecture, or narration audio

## When to use

- When comparing multiple takes or recording setups to determine which voice track has the best clarity.
- When pre-screening user-submitted audio files or podcast recordings for potential clipping, excessive reverb, or background noise.
- When auditing a large library of spoken-word audio assets to flag low-quality tracks that require manual review or restoration.

## How it works

- Upload an audio file containing speech, narration, or lecture content.
- The tool analyzes active speech-range windows and estimates signal-to-noise separation from quieter segments.
- It checks for clipped samples, reverberant tails, high-frequency presence, and speech-band energy distribution.
- The system combines these six component metrics into a single heuristic score and returns the detailed breakdown as a JSON object.

## Use cases

- Evaluating podcast voice tracks to ensure they meet minimum clarity standards before editing.
- Screening online course lectures for excessive room reverb or microphone clipping.
- Automating quality control checks for voiceover submissions in localization projects.

## Frequently asked questions

### Is this tool equivalent to an STI or STIPA measurement?

No, this tool calculates an explainable heuristic quality score based on acoustic properties, not a formal physical STI/STIPA measurement.

### Does a high score guarantee 100% transcription accuracy?

No, while higher intelligibility correlates with better transcription, the score measures acoustic clarity rather than linguistic accuracy.

### What audio formats are supported?

The tool accepts standard audio file formats, typically up to 100MB in size.

### How does the tool estimate noise separation?

It analyzes active speech windows and compares their energy levels against quieter, non-speech windows to estimate the signal-to-noise ratio.

### Can I use this tool to automatically fix bad audio?

No, this is an analysis tool that flags quality issues and scores intelligibility; it does not modify or process the audio file itself.

## Related tools

- [Audio Vocal Range Finder](https://elysiatools.com/en/tools/audio-vocal-range-finder): Estimate the lowest and highest stable sung notes from an audio recording.
- [Audio Voiceover Take Selector](https://elysiatools.com/en/tools/audio-voiceover-take-selector): Compare multiple recorded takes by noise, clipping, tempo, duration and consistency, then rank them to pick the best.
- [Audio Breath Control Editor](https://elysiatools.com/en/tools/audio-breath-control-editor): Detect breaths in speech and naturally crossfade to reduce, remove, or keep them.
- [Audio Click Removal](https://elysiatools.com/en/tools/audio-click-removal): Remove clicks and pops from vinyl recordings
- [Audio Declicker](https://elysiatools.com/en/tools/audio-declick): Remove clicks and pops from audio files caused by vinyl records, digital errors, or other impulsive noise sources
- [Audio Decrackler](https://elysiatools.com/en/tools/audio-decrackle): Remove crackles and subtle impulsive noise from audio files. Ideal for restoring old recordings, cassette tapes, and digitized vinyl with surface noise
- [Audio Hum Removal](https://elysiatools.com/en/tools/audio-hum-removal): Remove electrical hum (50/60Hz and harmonics) from audio
- [Video Audio Extract Enhanced](https://elysiatools.com/en/tools/video-audio-extract-enhanced): Extract audio from video files with advanced options - multiple formats, quality settings, and audio enhancement

## Samples

- [Speech Learning & Safety Audio Samples](https://elysiatools.com/en/samples/audio-learning-safety-samples): Deterministic synthetic WAV inputs for pronunciation comparison, dictation preflight, alert degradation, and voice privacy tools.
- [Copyright-Free FLAC Audio Samples](https://elysiatools.com/en/samples/flac-samples): Lossless FLAC audio samples for testing and development, mirrored from MP3 set with nature sounds and meditation music
- [Copyright-Free MP3 Audio Samples](https://elysiatools.com/en/samples/mp3-samples): Collection of royalty-free audio samples for testing and development purposes including nature sounds, meditation music, and ambient audio
- [Copyright-Free WAV Audio Samples](https://elysiatools.com/en/samples/wav-samples): Uncompressed PCM WAV audio samples for testing and development, mirrored from MP3 set with nature sounds and meditation music

## Related content

- [Podcast Recording, Editing, and Delivery](https://elysiatools.com/en/hubs/podcast-recording-editing-delivery): Rescue remote voices, clean speech artifacts, shape the edit, master loudness, add show assets, and validate podcast files before delivery.
