Machine learning, automatic speech recognition, Explainable AI and Large Language Models (LLMs) help predicting the customer needs, enabling customers and client-facing folks to improve customer experience and to take the best actions in order to improve their conversion.
AIATUS Speech & Emotion Analytics Values
Automatic Speech Recognition
Enables text-based analytics by converting audio recordings into text
Speaker Diarization
Distinguishes speakers from audio recordings
Speech Quality Enhancement
Improves the quality of the audio recording, enabling high-performance analytics
Voice Based Emotion Recognition
Detects vocal emotion of speakers from audio recording
Sentiment Analysis
Detects sentiment of speakers from transcription of the audio recording
Automated Agent Assessment Scorecard
Agent quality scoring as a result of voice and text-based analytics
DASHBOARDS & REPORTS
Automated Agent Assessment Scorecard
Automated Agent Assessment Scorecard
Automated Agent Assessment Scorecard
Customer Satisfaction
Automated Agent Assessment Scorecard
Automated Agent Assessment Scorecard
Bad Word Analytics
Automated Agent Assessment Scorecard
Bad Word Analytics
Speech Analytics
Bad Word Analytics
Sentiment Analysis
Voice Emotion
Vocal Event
Word-Frequency
Vocal Event
Wordcloud
Word-Frequency
Vocal Event