The Microsoft Scalable Noisy Speech Dataset (MS-SNSD) is a noisy speech dataset that can scale to arbitrary sizes depending on the number of speakers, noise types, and Speech to Noise Ratio (SNR) levels desired.
Hello,
We are looking for the configuration that was used for 'A scalable noisy speech dataset and online subjective test framework' paper? We could not find all the values such as SNR levels, noise types etc.
Maybe add it to the repo so that its really easy to reproduce the same setup.
Thank you in advance!
Hello, We are looking for the configuration that was used for 'A scalable noisy speech dataset and online subjective test framework' paper? We could not find all the values such as SNR levels, noise types etc. Maybe add it to the repo so that its really easy to reproduce the same setup. Thank you in advance!