Audio analyzer

Audio AI

Our Audio Analyzer is a comprehensive audio processing platform that transforms audio input into actionable insights. The system uses Automatic Speech Recognition (ASR), speech embedding, and audio classification to transcribe conversations, detect emotions, extract keywords, and analyze audio content. The platform can process various audio sources including phone calls, meetings, podcasts, and voice recordings, providing sentiment analysis, keyword extraction, and emotion detection that help organizations understand customer interactions, improve service quality, and gain valuable business insights from audio data.

Completed20245 months

Project Overview

Client:Call Center Solutions
Duration:5 months
Team Size:6 developers
Status:Completed

Technologies Used

audio analyticsASRspeech embeddingaudio classificationemotion detection

Key Features

  • Real-time audio transcription
  • Emotion and sentiment detection
  • Keyword and topic extraction
  • Speaker identification
  • Audio quality analysis
  • Multi-language support

Challenges Overcome

  • Handling background noise and poor audio quality
  • Accurate emotion detection from voice
  • Processing multiple speakers
  • Maintaining transcription accuracy

Results Achieved

  • 92% transcription accuracy
  • 85% emotion detection accuracy
  • 70% reduction in manual transcription time
  • 60% improvement in customer insight extraction