Hochien/wav2vec2-alignment
By Hochien · ↓ 0 · ♥ 0 · Updated 2026-03-11
What's in this repo
This page lists the files in Hochien/wav2vec2-alignment, including model_fp16.onnx, model.onnx, wav2vec2-lv60-espeak-fp16.onnx and more.
- 5 ONNX models (.onnx files)
- 16 files, including 9 .json, 5 .onnx, 1 .md
- Last updated 2026-03-11
ONNX files
| File | Size | Download |
|---|---|---|
| en/model_fp16.onnx | — | Download |
| ja/model.onnx | — | Download |
| ko/model_fp16.onnx | — | Download |
| wav2vec2-lv60-espeak-fp16.onnx | — | Download |
| zh/model_fp16.onnx | — | Download |
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
Wav2Vec2-LV-60-Espeak-CV-FT (ONNX)
This is an ONNX export of the facebook/wav2vec2-lv-60-espeak-cv-ft model.
It is designed for client-side inference in the UltrClick ContentPro application to perform forced alignment of lyrics to audio.
Model Details
- Original Model:
facebook/wav2vec2-lv-60-espeak-cv-ft - Format: ONNX (Open Neural Network Exchange)
- Precision: FP16 (Float16)
- Output: IPA Phoneme logits (392 vocab size)
- Sample Rate: 16kHz
Usage
This model is intended to be used with the ONNX Runtime (e.g., via ort in Rust or onnxruntime in Python).
Input
- Name:
audio - Shape:
[batch_size, samples] - Type: Float32 tensor
Output
- Name:
logits - Shape:
[batch_size, frames, 392](392 is the vocab size)
License
This model is a derivative of the original facebook/wav2vec2-lv-60-espeak-cv-ft model and retains the Apache 2.0 license.
Model info
Created: 2026-01-22
Updated: 2026-03-11
View on Hugging FaceFiles (16)
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