Speech Analytics APIs transcribe audio (streaming or batch) into text and extract NLU metrics like topics, named entities, and sentiment. This API targets contact center real-time agent-assist and offline speech analytics.
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Transcription accuracy of 89% that can be improved with training
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Topics, Sentiment, Named Entities, Keywords, Phrases, Intents, Emotion, Mood, etc.
English, Spanish, Portuguese, German, Korean, Hindi and more
Our latest release (1.24.0) expands Voicegain Speech Analytics and Transcription API with ability to redact sensitive data both in transcript and in audio. This allows our customers to be compliant with standards like HIPAA, GDPR, CCPA, PCI or PIPEDA.
Any of the following types of Named Entities can be redacted in transcript text and/or the audio file.
In the audio they are replaced with silence and in the transcript they are replaced with a string specified when making the API request.
This feature is supported both in Cloud and on the Edge (on-prem).
Two typical use cases are:
Voicegain has released its Speech Analytics (SA) API that supports variety of analytics tasks performed on the audio or the transcript of that audio. The features supported by Voicegain SA API were chosen to support our target main use case which is processing Call Center calls.
The current release supports offline Speech Analytics. The data that can be obtained through Speech Analytics API is listed below.
Note, here we do not include things that can be obtained also from our Transcribe API, like: transcript, decibel values, audiozones, etc. These, however, will be accessible from the Speech Analytics API response.
Per channel analytics:
Real-time Speech Analytics will be available in the near future. Soon we also plan to release Score Card support for Speech Analytics.
Per channel analytics coming soon:
Additionally, we will soon support PII redaction of any named entity from either transcript or audio.
Speech Analytics API supports the following types of audio input:
You can see the API specification here.