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"Designed for all users, including those with disabilities."
Parakeet-tdt_ctc-1.1b is a speech synthesis model designed to generate text transcripts with timestamps from audio or video files. It is optimized for accuracy and efficiency, making it ideal for applications that require precise transcription with time-stamped outputs.
• Automatic transcription: Converts audio or video content into text with high accuracy.
• Timestamp generation: Provides detailed timestamps for each transcribed segment.
• Multi-format support: Works with various audio and video formats.
• Focus on accuracy: Advanced algorithms ensure high-quality transcription outputs.
• Scalability: Suitable for both small-scale and large-scale transcription tasks.
• Speaker differentiation: Can identify and label multiple speakers in the audio.
• Customizable options: Allows users to fine-tune settings for specific use cases.
Example usage:
from parakeet import ParakeetTDTCTC
model = ParakeetTDTCTC()
transcript = model.transcribe("path_to_audio_file.wav")
print(transcript)
1. What formats does Parakeet-tdt_ctc-1.1b support?
Parakeet-tdt_ctc-1.1b supports common audio formats like WAV, MP3, and M4A, as well as video formats such as MP4 and AVI.
2. Can Parakeet-tdt_ctc-1.1b handle multiple speakers?
Yes, the model is capable of distinguishing and labeling multiple speakers in the audio, providing a more detailed transcription.
3. How do I customize the transcription settings?
Customization options, such as adjusting accuracy thresholds or enabling speaker differentiation, can be accessed through the model's configuration parameters. Refer to the official documentation for detailed instructions.