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Speech & Audio AI
Speech emotion recognition and audio classification using wav2vec2 and advanced audio processing.
Overview
Audio is one of the richest and most underexploited data sources in enterprise. I build systems that classify, transcribe, and understand speech and audio — from detecting customer sentiment in call recordings to identifying equipment faults from vibration data. I leverage state-of-the-art transformer-based audio models for accuracy that beats classical approaches by significant margins.
Tech Stack
wav2vec2PyTorchHugging FaceLibROSAWhisperTransformers
Use Cases
- ✓Call centre emotion and sentiment detection
- ✓Speaker identification and verification
- ✓Keyword spotting and wake-word detection
- ✓Audio event classification
- ✓Accent and dialect analysis
Ready to build with Speech & Audio AI?
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