Service Incident: New DOI registrations are working again. Re-registration of failed DOI registrations (~500) are still affected by the service incident at DataCite (our DOI registration agency).
Published April 16, 2018 | Version v1.0.0
Dataset Open

LibriCount, a dataset for speaker count estimation

  • 1. Internation Audio Laboratories Erlangen

Description

LibriCount10 0dB Dataset

This is the description to the LibriCount10 synthetic dataset for speaker count estimation.

Therefore for each recording we provide the ground truth number of speakers within the file name, where `k` in, `k_uniquefile.wav` is the maximum number of concurrent speakers with the 5 seconds of recording.

The dataset contains a simulated cocktail party environment of [0..10] speakers, mixed with 0dB SNR from random utterances of different speakers from the LibriSpeech `CleanTest` dataset.

All recordings are of 5s durations, and all speakers are active for the most part of the recording.

For each unique recording, we provide the audio wave file (16bits, 16kHz, mono) and an annotation `json` file with the same name as the recording.

Metadata

In the annotation file we provide information about the speakers sex, their unique speaker_id, and vocal activity within the mixture recording in samples. Note that these were automatically generated using a voice activity detection system.

In the following example the annotation shows a speaker count of 3 speakers as can be extracted from the number of elements in the list:

[
    {
        "sex": "F",
        "activity": [[0, 51076], [51396, 55400], [56681, 80000]], 
        "speaker_id": 1221
    },
    {
        "sex": "F",
        "activity": [[0, 51877], [56201, 80000]],
        "speaker_id": 3570
    },
    {
        "sex": "M",
        "activity": [[0, 15681], [16161, 68213], [73498, 80000]], 
        "speaker_id": 5105
    }
]


 

Files

LibriCount10-0dB.zip

Files (832.5 MB)

Name Size Download all
md5:30c8f844dc59fa65d216d53db9dc37e2
832.5 MB Preview Download