Mozilla Common Voice

Mozilla Common Voice is a dataset that contains recordings of spoken language used to evaluate automatic speech recognition (ASR) systems.

Papers using Mozilla Common Voice (11)

Whispering in Amharic: Fine-tuning Whisper for Low-resource Language2025 · 7 citesOvercoming Data Scarcity in Multi-Dialectal Arabic ASR via Whisper Fine-Tuning2025 · 3 citesWhisper Turns Stronger: Augmenting Wav2Vec 2.0 for Superior ASR in Low-Resource Languages2025 · 3 citesBaltiVoice: A Speech Corpus and Fine-tuned Whisper ASR System for the Balti Language2026Quality of Automatic Speech Recognition -- Polish Language case study -- from Wav2Vec to Scribe ElevenLabs2026Kinspeak: Improving Speech Recognition For Kinyarwanda Via Semi-supervised Learning Methods2023\`{I}r\`{o}y\`{i}nSpeech: A multi-purpose Yor\`{u}b\'{a} Speech Corpus2023KinSPEAK: Improving speech recognition for Kinyarwanda via semi-supervised learning methods2023Improving Speech Recognition for African American English With Audio Classification2023Accented Speech Recognition With Accent-specific Codebooks2023Improving Self-supervised Pre-training using Accent-Specific Codebooks2024