Wav2Vec2-base-ADS and IDS Classification Fine-tuned facebook/wav2vec2-base on Adult and Infant directed speech dataset. 
The data used for training was randomly sampled. 
The data was 8kHz and hence it was upsampled to 16kHz for training.
When using this model, make sure that your speech input is sampled at 16kHz.
{}
transformers pytorch tensorboard wav2vec2 audio-classification endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #wav2vec2 #audio-classification #endpoints_compatible #region-us 

Wav2Vec2-base-ADS and IDS Classification Fine-tuned facebook/wav2vec2-base on Adult and Infant directed speech dataset. 
The data used for training was randomly sampled. 
The data was 8kHz and hence it was upsampled to 16kHz for training.
When using this model, make sure that your speech input is sampled at 16kHz.
TAGS
#transformers #pytorch #tensorboard #wav2vec2 #audio-classification #endpoints_compatible #region-us 

TAGS
#transformers #pytorch #tensorboard #wav2vec2 #audio-classification #endpoints_compatible #region-us 
