Voice processing

Voice processing is the computational analysis and manipulation of human speech signals through digital signal processing and artificial intelligence techniques to extract information, enhance audio quality, and enable voice-based interactions. This field encompasses multiple domains including automatic speech recognition for converting speech to text, text-to-speech synthesis for generating artificial speech, speaker identification and verification for biometric applications, and voice activity detection for audio segmentation. Voice processing employs signal processing methods like spectral analysis, feature extraction using mel-frequency cepstral coefficients, and noise reduction algorithms. Modern approaches utilize deep learning architectures including recurrent neural networks, transformers, and convolutional networks for robust performance across diverse acoustic conditions. Applications span virtual assistants, telecommunication systems, hearing aids, and security systems. For AI agents, voice processing provides essential capabilities for natural speech interfaces, multilingual communication, and acoustic scene understanding.