Automatic Speech

What is automatic speech refers to artificial intelligence systems that process, analyze, and understand human speech without manual intervention, primarily encompassing automatic speech recognition (ASR) technology that converts spoken language into text. This computational process employs signal processing, acoustic modeling, and language understanding to interpret audio signals and extract meaningful information. Automatic speech systems utilize deep learning architectures including recurrent neural networks, transformers, and attention mechanisms to handle diverse speakers, accents, and acoustic conditions. Key components include voice activity detection, feature extraction using spectrograms, acoustic modeling through neural networks, and language modeling for word sequence prediction. Applications span voice assistants, transcription services, call center automation, and accessibility tools. Modern automatic speech technology enables real-time processing, multilingual support, and domain-specific vocabulary adaptation. For AI agents, automatic speech provides essential voice interface capabilities.