8 datasets found

The database in [28] which was used to evaluate SEGAN in [14].

The dataset used in this paper is a collection of phonetically and phonologically local allophonic distribution in English, where voiceless stops surface as aspirated...

The TIMIT corpus is a widely used benchmark for speech recognition tasks. It contains 3,696 training utterances from 462 speakers, excluding the SA sentences. The core test set...

The dataset used in the paper is a selection of 14 noisy mixtures created manually from the Voice Bank speech corpus.

The dataset used in the paper is a selection of ten British English speakers – both male and female – from the Voice Bank speech corpus, each of which has around 400 clean...

The VCTK corpus is an English multi-speaker dataset, with 44 hours of audio spoken by 109 native English speakers.

The authors created a custom dataset for their experiment, consisting of 33,000 images of 320 possible object-image combinations, with 10 possible shapes, 8 possible colors, 2...

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...