Datasetpublic

giangndm/audio-confidence-alignment

Vietnamese Wav2Vec2 Feature & K-Means Tokenized Dataset This repository contains the structured speech features and tokenized cluster indices for the target pw733 and clean viVoice Vietnamese datasets, formatted as Parquet tables. 📊 Dataset Schema audio_uuid (string): Unique identifier of the audio file. text (string): Transcription text (empty for raw pw733 audio). features (list of list of float): Frame-level Wav2Vec2 embeddings ([Num_Frames, 768]). indices… See the full description on the dataset page: https://huggingface.co/datasets/giangndm/audio-confidence-alignment.

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Dataset Card

Vietnamese Wav2Vec2 Feature & K-Means Tokenized Dataset

This repository contains the structured speech features and tokenized cluster indices for the target pw733 and clean viVoice Vietnamese datasets, formatted as Parquet tables.

📊 Dataset Schema

—`audio_uuid` (string): Unique identifier of the audio file.
—`text` (string): Transcription text (empty for raw pw733 audio).
—`features` (list of list of float): Frame-level Wav2Vec2 embeddings ([Num_Frames, 768]).
—`indices` (list of int32): The mapped discrete token IDs matching the K-Means centroids ([Num_Frames]).
—`dataset_origin` (string): Source dataset name (pw733 or viVoice).

🔗 Mapped K-Means Model

This dataset is tokenized using the 16,384 K-Means centroids hosted at: 👉 [giangndm/wav2vec2-vietnamese-kmeans-16384](https://huggingface.co/giangndm/wav2vec2-vietnamese-kmeans-16384)

🚀 Usage

python

from datasets import load_dataset
ds = load_dataset("giangndm/audio-confidence-alignment")
print(ds["train"][0])

Developed as part of the Multi-Project Voice Research Spike under `rd-lumi/luvox-vibe-research`.