Sherpa Voice app analytics for August 25

Sherpa Voice is an open-source demo app that showcases what on-device speech and audio AI can do — directly on your phone, with no cloud and no internet required. Whether you are a developer evaluating libraries for your next app, a researcher exploring mobile inference, or just curious about offline AI, Sherpa Voice lets you try 10 speech and audio features hands-on. WHAT YOU CAN TRY - Speech Recognition: Transcribe speech to text from files or live microphone input. Multiple languages supported. - Text-to-Speech: Generate natural-sounding speech from text with various voices and speakers. - Voice Activity Detection: Detect speech vs silence in real-time audio. - Keyword Spotting: Listen for custom keywords without full transcription. - Speaker Identification: Recognize speakers by their voice. - Speaker Diarization: Figure out who spoke when in a conversation. - Audio Tagging: Classify sounds — music, speech, environmental noise. - Language Identification: Detect which language is being spoken. - Speech Enhancement: Remove background noise from recordings. - Punctuation: Add punctuation to raw transcripts. Each feature comes with a downloadable model catalog so you can compare different models for speed, size, and accuracy. FOR DEVELOPERS Sherpa Voice is built with React Native and Expo using two open-source libraries: - sherpa-onnx: C++ inference engine for speech models, with mobile-optimized ONNX Runtime - expo-audio-stream: Real-time audio recording, analysis, and visualization for React Native Everything you see in this app can be integrated into your own project. The full source code is available on GitHub — use it as a reference, fork it, or contribute. HOW IT WORKS 1. Pick a feature (Speech Recognition, TTS, etc.) 2. Download a model from the built-in catalog (one-time, typically 15-100 MB) 3. Use the feature — all processing runs locally on your device PRIVACY No accounts. No tracking. No data collection. Audio never leaves your device.