--- 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 --- # Dataset Card for mcv_spk_emb This is the speaker embeddings (xvectors) of mozilla common voice_11 speakers, extracted with speechBrain's xvector model using this [script](https://huggingface.co/mechanicalsea/speecht5-vc/blob/main/manifest/utils/prep_cmu_arctic_spkemb.py) by concatinating 11 splits from MCV_11 making a set of **1080** different speakers and 30k audio samples using this [script](https://colab.research.google.com/drive/1ZUTZWezhvTsVro7Q7PsyIMX-Oav2BDlp?usp=sharing) ## 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 [More Information Needed]