metadata

dataset_info:
  features:
    - name: client_id
      dtype: string
    - name: path
      dtype:
        audio:
          sampling_rate: 16000
    - name: gender
      dtype: string
    - name: lang
      dtype: string
    - name: speaker_embeddings
      sequence: float32
  splits:
    - name: train
      num_bytes: 4029541840
      num_examples: 26176
    - name: test
      num_bytes: 1003181602.875
      num_examples: 6545
  download_size: 4400291108
  dataset_size: 5032723442.875
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*
license: apache-2.0
task_categories:
  - audio-classification
pretty_name: Decent Gender Audio Data
tags:
  - gender_detection
  - voice_gender_detection
  - speaker_vectors
  - voice_gender_vectors
  - multi_speaker_gender
size_categories:
  - 10K<n<100K

Dataset Card for mcv_spk_emb

This is the speaker embeddings (xvectors) of mozilla common voice_11 speakers, -with the original audios-. Vectors are extracted with speechBrain's xvector model using this script by concatinating 11 splits from MCV_11 making a set of 1080 different speakers and 30k audio samples using this script. The main goal of this data was to train and test a voice gender detection classifier.

Dataset Details

Dataset Description

Language(s) (NLP): ['ur', 'tr', 'cb', 'ba', 'fa', 'ab', 'et', 'ug', 'ar']
License: what ever the license of Mozilla Common Voice_11 and SpeechBrain(Apache-2.0 license)

Dataset Sources [optional]

Repository: https://huggingface.co/datasets/mozilla-foundation/common_voice_11_0

Uses

Gender detection by voice

Out-of-Scope Use

Citation [optional]

Asmaa, Q. (2024). Decent Gender Audio Data. https://huggingface.co/datasets/AsmaaQ/mcv_spk_emb

Dataset Card Authors [optional]

[More Information Needed]

Dataset Card Contact

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