About
This training dataset is originally designed for the Helsinki Speech Challenge 2024 (HSC2024). While it was created with this challenge in mind, its applications extend far beyond, making it a valuable resource for developing and testing audio algorithms across diverse uses.
The dataset features clean speech samples generated by OpenAI’s text-to-speech model, paired with corresponding recorded signals. These recorded signals are purposefully distorted by real-world effects such as filtering and reverb, offering a realistic testing ground for your audio processing algorithms.
HSC2024 official website: https://blogs.helsinki.fi/helsinki-speech-challenge/
Creators
Ludvigsen Martin, Karvonen Elli, Juvonen Markus & Siltanen Samuli
