XLSR-EN-Punctuation
| Property | Value |
|---|---|
| Base Model | facebook/wav2vec2-large-xlsr-53 |
| Author | boris |
| Task | Speech Recognition with Punctuation |
| Input Format | 16kHz Audio |
| Model Hub | View Model |
What is xlsr-en-punctuation?
XLSR-EN-Punctuation is a specialized speech recognition model built upon Facebook's Wav2Vec2-Large-XLSR-53 architecture, specifically fine-tuned for English language processing with punctuation support. This model represents an advanced approach to automatic speech recognition (ASR) that maintains punctuation in transcribed text, making it particularly valuable for applications requiring properly formatted transcriptions.
Implementation Details
The model is implemented using the Transformers library and requires audio input sampled at 16kHz. It utilizes the CTC (Connectionist Temporal Classification) approach for speech recognition and incorporates specific preprocessing steps to handle punctuation marks. The implementation includes torch and torchaudio dependencies, with support for both CPU and CUDA execution.
- Built on Wav2Vec2-Large-XLSR-53 architecture
- Optimized for 16kHz audio processing
- Includes punctuation handling in transcription
- Supports batch processing for efficient inference
Core Capabilities
- Direct speech-to-text transcription without requiring a language model
- Preservation of punctuation in output text
- Batch processing support for multiple audio files
- Integration with Common Voice dataset for evaluation
Frequently Asked Questions
Q: What makes this model unique?
This model's unique feature is its ability to handle punctuation during speech recognition while leveraging the powerful XLSR-53 architecture, making it especially suitable for applications requiring properly formatted transcriptions.
Q: What are the recommended use cases?
The model is ideal for applications requiring accurate English speech transcription with proper punctuation, such as meeting transcription, subtitle generation, and document dictation. It's particularly effective when working with 16kHz audio input.
