The accuracy and quality of speech recognition can be impacted by several factors, including:
1. Quality of audio input
- Microphone quality: A high-quality microphone captures clearer sound, reducing errors caused by muffled or distorted audio.
- Background noise: Ambient sounds like traffic, conversations, or even the hum of electronics can confuse speech recognition algorithms.
- Volume and distance: Speaking too softly or far from the microphone can make it harder for the system to distinguish your words.
Related article: Improve the Quality of Speech Recognition
2. Speaker characteristics
- Accent and dialect: Regional accents and dialects can introduce variations in pronunciation that may not be fully accounted for in the speech model.
- Speaking rate: Speaking too fast or too slow can make it challenging for the system to accurately recognize words.
- Articulation: Clearly pronouncing words with proper enunciation greatly improves accuracy.
- Overlapping speech: When multiple people speak simultaneously or interrupt each other, it can be difficult for the system to separate and identify individual voices, leading to errors.
3. Environmental factors
- Echo and reverb: Enclosed spaces with hard surfaces can create echoes that interfere with speech recognition.
- Network connectivity: Poor internet connection can cause delays in processing or even dropouts, affecting transcription accuracy.
Also read: What is the difference between Custom Vocabulary vs. Topic Trackers
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