Wespeaker Voxceleb Resnet34 LM
Wespeaker Voxceleb Resnet34 LM is a speaker embedding model hosted on Hugging Face under the pyannote organization. It produces vector representations from audio that support speaker recognition, verification, and identification tasks.
The model is delivered as a PyTorch artifact that loads directly through the pyannote.audio library. Code examples show instantiation via Model.from_pretrained("pyannote/wespeaker-voxceleb-resnet34-LM"), followed by an Inference wrapper that accepts a full audio file or a timed excerpt defined with a Segment object. It runs on CPU by default and can be moved to GPU. The underlying architecture is identified in the repository tags as a ResNet34 backbone trained on the VoxCeleb corpus.
It carries a cc-by-4.0 license. The repository provides a model card with usage instructions, Colab and Kaggle notebooks, and links for integration into local applications or inference providers. The page lists associated tags including voxceleb, pyannote-audio-model, wespeaker, audio, voice, speech, speaker-recognition, speaker-verification, speaker-identification, and speaker-embedding.
Developers and researchers incorporate the model into audio analysis pipelines that require speaker-level features. The Hugging Face page records 154 likes and belongs to an organization with 2.9k followers.
Overview
5 featuresWespeaker Voxceleb Resnet34 LM sits in PulseGate's Voice cloning & synthesis category. Automatically identifying and verifying speakers in audio recordings. Wespeaker Voxceleb Resnet34 LM is an open-source project aimed at audio processing researchers and developers. The project is open source (Apache-2.0). It runs on the web and the command line.
pyannote builds and maintains Wespeaker Voxceleb Resnet34 LM, and it first shipped in 2021. The project is developed in the open on GitHub with 1.4k stars and 8 commits in the last 90 days. Among its 5 catalogued features are speaker recognition, speaker verification, and speaker identification.
Summary written by a language model from the project’s public pages.
- Speaker recognition
- Speaker verification
- Speaker identification
- Speaker embedding
- Audio analysis
Built with & integrations
- AWS
- x-amz-cf-id header · x-amz-cf-pop header · via header
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed19 Jul · 19:17 UTCpyannote/wespeaker-voxceleb-resnet34-LM verified via Hugging Face EnumeratorSource: Hugging Face Enumerator · Open
Frequently asked questions about Wespeaker Voxceleb Resnet34 LM
- What does Wespeaker Voxceleb Resnet34 LM do?
- Automatically identifying and verifying speakers in audio recordings. It is catalogued under Voice cloning & synthesis on PulseGate.
- Who is Wespeaker Voxceleb Resnet34 LM for?
- Wespeaker Voxceleb Resnet34 LM is an open-source project built for audio processing researchers and developers.
- Is Wespeaker Voxceleb Resnet34 LM free?
- Yes — Wespeaker Voxceleb Resnet34 LM is open source under the Apache-2.0 license and free to use.
- What platforms does Wespeaker Voxceleb Resnet34 LM run on?
- Wespeaker Voxceleb Resnet34 LM runs on the web and the command line.
- Is Wespeaker Voxceleb Resnet34 LM still maintained?
- The GitHub repository shows 8 commits in the last 90 days.
- Who develops Wespeaker Voxceleb Resnet34 LM?
- Wespeaker Voxceleb Resnet34 LM is developed by pyannote.
- When did Wespeaker Voxceleb Resnet34 LM launch?
- Wespeaker Voxceleb Resnet34 LM first shipped in 2021.
- Is Wespeaker Voxceleb Resnet34 LM open source?
- Yes — Wespeaker Voxceleb Resnet34 LM is open source under the Apache-2.0 license, developed on GitHub.
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