speech recognition

Speech recognition: tech decoding spoken language into text.Advancing communication, accessibility, and automation. Rapid evolution underway

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Speech recognition, also known as automatic speech recognition (ASR) or voice recognition, is technology that interprets spoken language and converts it into text. This technology enables devices like smartphones, virtual assistants, and other applications to understand and respond to spoken commands or queries. It relies on algorithms and machine learning models to analyze audio signals, identify patterns, and transcribe speech accurately. Speech recognition has wide-ranging applications, including dictation, voice-controlled interfaces, transcription services, and accessibility features for individuals with disabilities. Its development has led to significant advancements in communication, accessibility, and automation across various industries.% Speech Recognition using MATLAB
% Record audio
recObj = audiorecorder;
disp('Start speaking.');
recordblocking(recObj, 5);
disp('End of Recording.');
% Play back the recording.
play(recObj);
% Store data in double-precision array.
audioData = getaudiodata(recObj);
% Perform speech recognition
speech = speechToText(audioData);
% Display recognized speech
disp('Recognized speech:');
disp(speech);

Cite As

Ragul (2026). speech recognition (https://se.mathworks.com/matlabcentral/fileexchange/164781-speech-recognition), MATLAB Central File Exchange. Retrieved .

Acknowledgements

Inspired by: Speech Recognition, Speech Recognition

General Information

MATLAB Release Compatibility

  • Compatible with any release

Platform Compatibility

  • Windows
  • macOS
  • Linux
Version Published Release Notes Action
1.0.0