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Voiceless: a large scale speaker identification dataset Marsha Vagrant, John Son Chung, Andrew Fisherman Visual Geometry Group, Department of Engineering Science, University of Oxford, UK Marsha,
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01
Start by collecting a large-scale speaker dataset from diverse sources, such as online videos, podcasts, or public speeches.
02
Ensure that the dataset contains a wide range of speakers from different demographics, backgrounds, and languages.
03
Preprocess the audio files by cleaning any noise or background sounds and normalizing the audio levels.
04
Extract speaker identity information from each audio file, such as speaker ID or name.
05
Divide the dataset into training, validation, and testing sets to ensure unbiased evaluation.
06
Implement a deep learning model, such as convolutional neural networks (CNNs) or recurrent neural networks (RNNs), to train on the speaker dataset.
07
Fine-tune the model using techniques like transfer learning to improve its performance.
08
Evaluate the trained model on the testing set to measure its accuracy and performance metrics.
09
Use the model to predict speaker identities on new audio samples.
10
Continuously update and refine the model as new data becomes available to improve its accuracy and generalization.

Who needs voxceleb a large-scale speaker?

01
Researchers in the field of speaker recognition who need a large-scale dataset to train and evaluate their models.
02
Companies or organizations working on speaker recognition technology for applications such as voice assistants, security systems, or call center analytics.
03
Academic institutions or research labs studying speaker identification or speaker verification.
04
Speech and language technology enthusiasts who are interested in exploring speaker recognition techniques.
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Voxceleb is a large-scale speaker dataset containing speech data from various celebrities.
Researchers and organizations working on speaker recognition or speech related projects may be required to file voxceleb dataset.
To fill out voxceleb dataset, researchers or organizations can download the data, process it for their project, and properly attribute the dataset.
The purpose of voxceleb dataset is to provide a large-scale dataset for speaker recognition research and development.
Information on the celebrities included in the dataset, audio recordings, and any processing done on the data must be reported.
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