AI Data Services

Audio Data Collection and Annotation

What is audio data collection and annotation?

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?

98%
QC accuracy on multilingual audio
Source: ConsultBae
25,000 hrs
speech in one recognition corpus
Source: ConsultBae
1,500
audio QA specialists
Source: ConsultBae

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?

Sample audio datasets
DatasetCoverageVolumeDetail
Speech recognition corpus60 languages25,000 hours50 countries
In-car voice commandmultiple1,200 hours3 mic setups
Conversational AI10 languages2,500 hours24-bit 48kHz
Emotion-based speech10 languages1,000 hours6 emotion classes
Sample audio datasets

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

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