Mizo Call Center Speech Dataset — 468 Hours of Live Telephony Audio for ASR Training
Start training, testing or fine-tuning your speech models with this Mizo call center dataset, featuring 468 hours of live, non-simulated conversations. Speech recognition datasets are perfect for those who need AI training data in call center settings and recorded over telephony for their ASR conversational analysis models. Transcription, at either model or human quality, is available as a service.
Start training, testing or fine-tuning your speech models with this Mizo call center dataset, featuring 468 hours of live, non-simulated conversations. Speech recognition datasets are perfect for those who need AI training data in call center settings and recorded over telephony for their ASR conversational analysis models. Transcription, at either model or human quality, is available as a service.
Start training, testing or fine-tuning your speech models with this Mizo call center dataset, featuring 468 hours of live, non-simulated conversations. Speech recognition datasets are perfect for those who need AI training data in call center settings and recorded over telephony for their ASR conversational analysis models. Transcription, at either model or human quality, is available as a service.
Start training, testing or fine-tuning your speech models with this Mizo call center dataset, featuring 468 hours of live, non-simulated conversations. Speech recognition datasets are perfect for those who need AI training data in call center settings and recorded over telephony for their ASR conversational analysis models. Transcription, at either model or human quality, is available as a service.
Dataset specs
Type
Audio
Sound quality
8kHz, 16 bit per channel
Region/Locale
lus-in
Amount
468 hours
Leverage
Enable your AI-powered Mizo call center systems to automatically route calls, respond to queries and generate real-time insights based on customer interactions by training your models on this Mizo speech dataset.
Use cases
This AI training dataset equips your AI models to analyze call center conversations for sentiment analysis, issue resolution and performance tracking, enabling better agent training and performance management.
Improve speech-to-text AI and speaker identification accuracy for more precise text outputs and better speaker differentiation with audio datasets in real-world call center environments.
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Dataset specs
Type
Audio
Sound quality
8kHz, 16 bit per channel
Region/Locale
lus-in
Amount
468 hours