| Model Type | Speech-to-Text |
|---|---|
| Framework | ONNX |
| Algorithm | Wav2Vec2 |
| Technical Details | This application integrates an ONNX-converted version of the Wav2Vec2 model for high-accuracy speech transcription. It employs a transformer-based encoder pre-trained through self-supervised learning to generate robust speech representations, followed by a CTC decoding head for transcription. The runtime pipeline includes audio preprocessing based on the model’s configuration files, tokenizer and vocabulary management, and special-token handling. Optimized ONNX execution ensures efficient and low-latency inference on SECO edge devices, enabling reliable speech-to-text processing in real-world embedded environments. |
Wave2Vec – Speech-to-Text
High-accuracy speech transcription using Wave2Vec for industrial documentation, healthcare automation, and voice-controlled processes.
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Wave2Vec – Speech-to-Text
app details
Resources
Use Cases
LLM
Audio Monitoring
Feedback Reporting
Industrial Noise
supported chipsets
Intel® Core™ i3
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