Speech Analysis Platform

 

Automated multi—speaker attribution, linking, emotions & intents recognition from natural conversations (meetings, earnings call, interviews & more). 

 
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Your platform for best in-class speech analysis

 
Ann Liu

Multi-speaker recognition

Identify multiple speakers at the precise time they spoke during the conversation. With accurate speaker turns, detection, tagging & linking.

Phyllis Mitchell

CONVERSATIONAL METRICS

Measure talk-to-listen ratio, pitch, cross-talk, speech disfluency, intent & more to generate actionable insights from multi-speaker conversations.

Janet Cho

voice-prints

Create speaker voiceprints from a few seconds of audio. And, identify individuals in real-time streaming or recorded conversations.

John Lee

EMOTION RECOGNITION

Directly from voice, recognise speaker emotion, intensity, & sentiment in speaker utterances.

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speech enhancement

Remove noise from recorded audio to increase human audible speech quality, and Automated Speech-to-Text (ASR) accuracy .

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speech synthesis

Convert written text into natural-sounding high quality audio in a variety voices at low cost.

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Enrich your conversation analysis with easy to use DeepAffects APIs

 
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  • conversational metrics

  • MULTI-SPEAKER RECOGNITION

  • VOICE-PRINTS

  • EMOTION RECOGNITION

  • SPEECH ENHANCEMENT

  • More ..

Full API reference

Works with

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We work with the most forward looking business in,

CALL CENTre

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Identify agent & customer voice, sentiments & intents to measure customer satisfaction & generate personalized agent coaching.

HEALTHCARE

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Extract prosodic features to build high specificity & sensitivity deep neural nets based models to screen & monitor patients for mental & respiratory illness. 

TRANSCRIPTION

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Enhance accuracy of the interview, conference, meeting transcripts by removing noise and recognizing multiple speakers.

MEETING APPS

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Recognize multiple speakers & their intents in a meeting to monitor dynamics and equity of contribution/participation in meetings.  

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