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Speech recognition converts spoken language into text (ASR/STT) and supports interpretable outputs for applications like transcription and voice interfaces.
Speech recognition (automatic speech recognition, ASR, or speech-to-text, STT) is a sub-field of computational linguistics focused on converting spoken language into text or other interpretable outputs. Its scope includes both the core translation of audio into linguistic units (such as words or phonemes) and related tasks that can use speech signals to support applications, such as voice user interfaces, transcription, audio search, dictation, and analyses of speaker characteristics. Within this scope, speech recognition systems are typically evaluated and designed for different operating conditions and use cases. Common application areas include direct voice input (e.g., command and control in phones, home automation, and aircraft-related contexts) as well as productivity tools (e.g., generating transcripts and searching recordings). The field also distinguishes speech recognition from voice/speaker recognition, where the goal is identifying the speaker rather than the spoken content, and it addresses challenges such as speaker variability, continuous vs. isolated speech, vocabulary size, and environmental noise.
Speech recognition converts spoken language into text (ASR/STT) and supports interpretable outputs for applications like transcription and voice interfaces.
The field covers both content recognition and related speech-based tasks, while distinguishing it from speaker recognition (identifying who spoke).
System performance and scope depend on factors such as vocabulary size, speaker dependence/independence, speech type (isolated/continuous), task constraints, and adverse acoustic conditions.
A computational linguistics sub-field that translates spoken language into text or other interpretable forms.
An application where a device listens to spoken input and processes it to perform actions or understand commands.
Voice-driven interaction where spoken commands are interpreted to control or operate a system.
A task that identifies the speaker rather than recognizing the spoken content.
A common accuracy metric for speech recognition that measures errors in the recognized word sequence compared to a reference transcript.
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