Speech Recognition
Speech recognition is the AI capability of converting spoken language into text. Modern systems like Whisper use deep learning to achieve near-human accuracy across multiple languages.
Understanding Speech Recognition
Speech recognition, also known as automatic speech recognition (ASR), converts spoken language into text using deep learning models trained on thousands of hours of audio data. Modern systems like OpenAI's Whisper use transformer architectures to achieve remarkable accuracy across multiple languages and accents. Speech recognition powers virtual assistants such as Siri, Alexa, and Google Assistant, as well as real-time transcription services, closed captioning, and voice-controlled interfaces. The pipeline typically involves audio preprocessing, feature extraction (often using mel spectrograms), and sequence-to-sequence decoding. Recent advances in self-supervised learning have dramatically reduced the labeled data requirements for training ASR systems, enabling accurate recognition for low-resource languages that previously lacked sufficient training data.
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AI Applications
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