What isSpeech Recognition
The process of converting spoken language into text. It involves analyzing acoustic signals to identify spoken words and phrases.
Speech recognition, also known as automatic speech recognition (ASR), is the process of converting spoken language into text. This technology analyzes acoustic signals, the sound waves produced by human speech, to identify and transcribe spoken words and phrases into a written format.
The process involves several stages. First, the audio signal is digitized and pre-processed. Then, the system analyzes the acoustic features of the speech, such as the frequencies and intensities of the sound waves. Finally, the system uses algorithms and models to map these features to corresponding words and phrases.
- **Digitization:** Converting the audio signal into a digital representation., **Pre-processing:** Cleaning and enhancing the audio signal, removing noise and background sounds., **Acoustic Feature Extraction:** Identifying key characteristics of the speech sounds., **Pattern Recognition:** Matching the extracted features to known words and phrases., **Language Modeling:** Using knowledge of language structure to improve accuracy.
Speech recognition technology is used in a wide variety of applications, from voice assistants and dictation software to automatic transcription services and medical diagnosis.