distil-whisper/ami-sdm
The AMI Meeting Corpus consists of 100 hours of meeting recordings. The recordings use a range of signals synchronized to a common timeline. These include close-talking and far-field microphones, individual and room-view video cameras, and output from a slide projector and an electronic whiteboard. During the meetings, the participants also have unsynchronized pens available to them that record what is written. The meetings were recorded in English using three different rooms with different acoustic properties, and include mostly non-native speakers. \n
Distil Whisper: AMI SDM
This is a variant of the AMI SDM dataset, augmented to return the pseudo-labelled Whisper Transcriptions alongside the original dataset elements. The pseudo-labelled transcriptions were generated by labelling the input audio data with the Whisper large-v2 model with greedy sampling. For information on how the original dataset was curated, refer to the original dataset card.
Standalone Usage
First, install the latest version of the 🤗 Datasets package:
pip install --upgrade pip
pip install --upgrade datasets[audio]The dataset can be downloaded and pre-processed on disk using the `load_dataset` function:
from datasets import load_dataset
dataset = load_dataset("distil-whisper/ami-sdm", "sdm")
# take the first sample of the validation set
sample = dataset["validation"][0]It can also be streamed directly from the Hub using Datasets' streaming mode. Loading a dataset in streaming mode loads individual samples of the dataset at a time, rather than downloading the entire dataset to disk:
from datasets import load_dataset
dataset = load_dataset("distil-whisper/ami-sdm", "sdm", streaming=True)
# take the first sample of the validation set
sample = next(iter(dataset["validation"]))Distil Whisper Usage
To use this dataset to reproduce a Distil Whisper training run, refer to the instructions on the Distil Whisper repository.
License
This dataset is licensed under cc-by-4.0.