🚧 Urdu Pro Voices TTS Corpus 🚧

Urdu Studio Voices TTS Corpus

About 113 hours of read Urdu speech recorded in a professional studio by 5 speakers (4 female, 1 male): 31,863 clips, each paired with its sentence in Urdu script. The cleanest recordings of the corpus, for high-quality TTS voices.

These recordings are a subset of the Urdu Read-Speech TTS Corpus (~502 h, 21 speakers).

Language and script

Urdu (ISO 639-3: urd), the national language of Pakistan. Text is in the Perso-Arabic Urdu script (Unicode Arabic block).

How it was collected

• Read speech recorded in Pakistan between July and September 2026. Each speaker read sentences shown in the SABRe recording app, grouped by domain.
• Collected for Mozilla Data Collective by MirasAI (mirasai.net).
• Recorded in a professional studio with Logic Pro (Audio-Technica AT2020 cardioid condenser microphone). This batch was recorded at a lower level (about 13 dB quieter than the rest of the corpus) and is left as recorded, so you can normalise it to your own target (for example sox in.wav out.wav gain -n -3).
• All speakers agreed to take part and were paid. Consent forms are available on request.
• Sentence sources: over 90% from Kaleem Art Press corpora (Kaleem Art Press is MirasAI's on-ground team), under 10% generated with Google AI Studio.
• Speakers are identified by ID only; no names are published.

Contents

Domains

Speakers

Audio

All clips are 44.1 kHz mono 16-bit PCM WAV. Clip length: 0.6 s to 114.5 s, median 11.0 s.

Files

Speaker-NN/
  mapping.tsv     audio_filename, key, domain, sentence (tab-separated, UTF-8)
  clips/          one WAV per row, named .wav
speaker_x_domain.csv   hours per speaker and domain
README.md
LICENCE.md

key is the SHA-256 hash of the sentence text, so the same sentence has the same key for every speaker.

Processing

• Same processing as the full corpus: domain labels merged into 25 domains, one recording per sentence per speaker, every row has its audio, stereo and 48 kHz recordings converted to 44.1 kHz mono.
• The 801 sentences of the Urdu Speech Evaluation Set are not included, so you can evaluate on that set without sentence overlap.

License and access

MDC Data Licence Agreement 1.0 (commercial; see LICENCE.md). Access is restricted.

Contact

Mozilla Data Collective, via this dataset's page on mozilladatacollective.com