Speech Processing
Wav2Vec2 on SUPURB
SUPURB
Speech processing Universal PERformance Benchmark
Audio classification dataset with multiple tasks
We used the Keyword Spotting subset
Wav2Vec2 out of Facebook research
Transformer based Method
Improvement on Accuracy score using Perforated Backpropagation + Wav2Vec2
We downloaded the best performing open source code and added our technology
Wav2Vec2 was developed by Facebook’s research team in 2020
Graph shows validation accuracy on SUPURB competitions keyword spotting dataset
Increase in accuracy score by 0.2%
12% error reduction
Average gap between top 5 papers on leaderboard for this dataset is 0.27%
Number of Perforated AI Cycles