| Property | Value |
|---|---|
| License | Apache 2.0 |
| Author | jonatasgrosman |
| Base Model | facebook/wav2vec2-large-xlsr-53 |
| Test WER | 41.60% |
| Test CER | 8.23% |
What is wav2vec2-large-xlsr-53-finnish?
This is a fine-tuned version of the XLSR-53 large model specifically adapted for Finnish speech recognition. The model was trained on Common Voice 6.1 and CSS10 datasets, optimized for processing 16kHz audio input. It represents a significant advancement in Finnish language speech recognition technology.
Implementation Details
The model builds upon the wav2vec2-large-xlsr-53 architecture and has been specifically fine-tuned for Finnish language processing. It utilizes the HuggingFace transformers framework and can be easily implemented using either the HuggingSound library or custom inference scripts.
- Trained on Common Voice 6.1 and CSS10 datasets
- Requires 16kHz audio input sampling
- Implements CTC-based speech recognition
- Supports batch processing for multiple audio files
Core Capabilities
- Automatic Speech Recognition for Finnish language
- Direct transcription without requiring a language model
- Batch processing of multiple audio files
- Competitive performance metrics (41.60% WER, 8.23% CER)
Frequently Asked Questions
Q: What makes this model unique?
This model is specifically optimized for Finnish speech recognition, offering a balance between accuracy and accessibility. It's one of several Finnish ASR models but provides robust performance with straightforward implementation options.
Q: What are the recommended use cases?
The model is ideal for Finnish speech transcription tasks, particularly when working with high-quality 16kHz audio. It's suitable for both single-file processing and batch transcription scenarios in applications requiring Finnish language support.