Voices Obscured in Complex Environmental Settings (VOiCES)

Stream data with DDA:

from dagshub.streaming import DagsHubFilesystem

fs = DagsHubFilesystem(".", repo_url="https://dagshub.com/DagsHub-Datasets/lab41-sri-voices-dataset")

fs.listdir("s3://lab41openaudiocorpus")

Description:

VOiCES is a speech corpus recorded in acoustically challenging settings, using distant microphone recording. Speech was recorded in real rooms with various acoustic features (reverb, echo, HVAC systems, outside noise, etc.). Adversarial noise, either television, music, or babble, was concurrently played with clean speech. Data was recorded using multiple microphones strategically placed throughout the room. The corpus includes audio recordings, orthographic transcriptions, and speaker labels.

Contact:

VOiCES is a speech corpus recorded in acoustically challenging settings, using distant microphone recording. Speech was recorded in real rooms with various acoustic features (reverb, echo, HVAC systems, outside noise, etc.). Adversarial noise, either television, music, or babble, was concurrently played with clean speech. Data was recorded using multiple microphones strategically placed throughout the room. The corpus includes audio recordings, orthographic transcriptions, and speaker labels.

Update Frequency:

Data from two additional rooms will be added to the corpus Fall 2018.

Managed By:

https://www.iqt.org/

Resources:

1. resource:
   • Description: wav audio files, orthographic transcriptions, and speaker ID
   • ARN: arn:aws:s3:::lab41openaudiocorpus
   • Region: us-east-1
   • Type: S3 Bucket

Tags:

aws-pds, machine learning, automatic speech recognition, speaker identification, denoising, speech processing

Tutorials:

1. tutorial:
   • Title: Getting started with VOiCES data
   • URL: https://github.com/voices18/utilities/blob/master/Using%20VOiCES%20corpus%20tutorial.ipynb
   • AuthorName: M.A. Barrios