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# Speaker Identification
Moonshine Base
MIT
Moonshine is a series of automatic speech recognition (ASR) models developed by Useful Sensors, specifically designed for English speech transcription, excelling on resource-constrained platforms.
Speech Recognition
Transformers English
Transformers EnglishM
UsefulSensors
6,857
32
Wav2vec2 Base Superb Sid
Apache-2.0
A speaker identification model fine-tuned on the VoxCeleb1 dataset based on the Wav2Vec2-base pre-trained model, designed for voice classification tasks
Speaker Analysis Transformers English
Transformers EnglishW
superb
1,489
20
Wav2vec2 Large Superb Sid
Apache-2.0
Speaker identification model based on the Wav2Vec2-Large architecture, trained on the VoxCeleb1 dataset for classifying speech by speaker identity
Speaker Analysis Transformers English
Transformers EnglishW
superb
27
1
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