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Hindi Call Center

Start training, testing or fine-tuning your speech models with 300 hours of Hindi live, non-simulated call center conversations. This dataset is perfect for those who are looking for instances of spontaneous speech in call center settings, recorded over telephony for their ASR conversational analysis models. This dataset comes with human transcription included!

Start training, testing or fine-tuning your speech models with 300 hours of Hindi live, non-simulated call center conversations. This dataset is perfect for those who are looking for instances of spontaneous speech in call center settings, recorded over telephony for their ASR conversational analysis models. This dataset comes with human transcription included!

Start training, testing or fine-tuning your speech models with 300 hours of Hindi live, non-simulated call center conversations. This dataset is perfect for those who are looking for instances of spontaneous speech in call center settings, recorded over telephony for their ASR conversational analysis models. This dataset comes with human transcription included!

Start training, testing or fine-tuning your speech models with 300 hours of Hindi live, non-simulated call center conversations. This dataset is perfect for those who are looking for instances of spontaneous speech in call center settings, recorded over telephony for their ASR conversational analysis models. This dataset comes with human transcription included!

Call Center

Dataset specs

Type

Audio

Sound quality

8kHz, 16 bit per channel

Region/Locale

hi-IN

Amount

300 hours

Content typeCall CenterDuration1-10mCompressionNone/LosslessChannel separationNoDataset SubtypeCall CenterDomainVariesFile Formatwav, json

Leverage

  • Enhance your AI-powered Hindi call center systems by training models that automatically route calls, respond to queries and generate real-time insights based on customer interactions.

Use cases

  • Train AI models to analyze call center conversations for sentiment analysis, issue resolution and performance tracking, enabling better agent training and performance management.

  • Improve ASR models and speaker identification accuracy, resulting in more precise text outputs and better speaker differentiation in real-world call center environments.

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Dataset specs

Type

Audio

Sound quality

8kHz, 16 bit per channel

Region/Locale

hi-IN

Amount

300 hours

Content typeCall CenterDuration1-10mCompressionNone/LosslessChannel separationNoDataset SubtypeCall CenterDomainVariesFile Formatwav, json

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