Speech to Text¶
Speech Studio includes a speech-to-text feature that transcribes audio files into editable text. This is useful for creating subtitles, meeting notes, interview transcripts, and more.
How It Works¶
The speech-to-text engine analyzes audio input and converts spoken words into written text using Azure's speech recognition service. It supports multiple languages and handles various accents and speaking speeds.
Transcribing an Audio File¶
- Open the Speech to Text tab in the Speech Studio interface.
- Import your audio file -- Click Browse or drag and drop an audio file into the import area. Supported formats include MP3, WAV, OGG, and M4A.
- Select the language -- Choose the language spoken in the audio. This helps the engine produce accurate transcriptions.
- Click Transcribe -- The engine processes the audio and displays the text output.
- Review and edit -- The transcribed text appears in an editable text area. Make any corrections as needed.
- Save or copy -- Export the text to a file or copy it to your clipboard.
Tips for Best Accuracy¶
Improve Transcription Quality
- Use audio with minimal background noise
- Ensure the speaker talks clearly and at a moderate pace
- Choose the correct language and dialect before transcribing
- Higher quality audio files (WAV preferred over highly compressed MP3) tend to produce better results
Supported Languages¶
Speech-to-text supports a wide range of languages. The accuracy is highest for major languages like English, Spanish, French, German, Chinese, and Japanese. See Supported Languages for the full list.
Use Cases¶
- Content creation -- Transcribe podcast episodes or video scripts
- Meetings -- Convert recorded meetings into searchable text
- Accessibility -- Create text versions of audio content for hearing-impaired users
- Research -- Transcribe interviews and lectures for easier analysis
Processing Time
Transcription speed depends on the length of the audio file and your internet connection. Most files process at several times real-time speed.