3 datasets found

The DEMAND and QUT-TIMIT datasets were used to create the corrupted speech input tracks according to the following signal-to-noise ratios (SNRs): 0 and 5 dB.

The Voice Bank corpus dataset was used as the ground-truth reference tracks. Additive noise from the DEMAND and QUT-TIMIT datasets were used to create the corrupted speech input...

The VoiceBank-DEMAND dataset is a standard benchmark for speech denoising systems. It consists of 28 speakers with 4 signal-to-noise ratios (SNR) (15, 10, 5, and 0 dB) and...