Audio data collection and annotation
Speech data collection, transcription, and annotation for ASR, voice assistants, and conversational AI across 60+ languages, including accented and code-switched speech, at 98% accuracy.
ConsultBae collects, transcribes, and annotates speech data for ASR, voice assistants, and conversational AI across 60+ languages. Every dataset is consented, traceable, and checked to 98% accuracy, including accented and code-switched speech that off-the-shelf datasets rarely cover.
- 60+ languages, including low-resource and accented speech
- Studio-grade and real-world recording conditions
- Emotion and speaker level labeling
- 98% delivered accuracy
What audio data does ConsultBae collect and annotate?
We handle both collection and annotation, from clean studio recordings to messy real-world audio.
- ASR corpora, transcribed speech across accents
- Voice commands for assistants, in-car, and IoT
- Conversational speech for dialogue models
- Read and studio speech for text to speech
- Emotion-tagged speech for expressive voice
- Speaker and diarization labels
Can ConsultBae source low-resource languages and dialects?
Yes, and this is the harder, more valuable work. The challenge is never the common languages. It is accented speech, regional dialects, and code-switched sentences where a speaker moves between two languages mid-thought. We collect exactly that, with native speakers, not synthetic substitutes.
How accurate is the audio data, and how is quality checked?
Every batch runs through multi-level human QA. Accuracy is held at 98%, checked by reviewers who speak the language of the data.
What audio projects has ConsultBae delivered?
| Dataset | Coverage | Volume | Detail |
|---|---|---|---|
| Speech recognition corpus | 60 languages | 25,000 hours | 50 countries |
| In-car voice command | multiple | 1,200 hours | 3 mic setups |
| Conversational AI | 10 languages | 2,500 hours | 24-bit 48kHz |
| Emotion-based speech | 10 languages | 1,000 hours | 6 emotion classes |
Where is audio training data used?
- Speech recognition and transcription
- Text-to-speech voices
- Voice assistants and in-car systems
- Call and conversation analytics
- Conversational AI
Related services
Tell us the languages, the speakers and the hours
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