![]() Useful for scenarios that improve robustness to different accents or intonations. Cut and organized into text-annotated audio files of about 10 seconds each, ideal for getting started.Ī dataset of clear English speech with accents. Data is derived from reading audiobooks from the LibriVox project and is carefully segmented and consistent. LibriSpeech This dataset is an audiobook dataset containing both text and speech, a corpus of approximately 1000 hours of 16kHz read English speeches written by Vassil Panayotov. To mimic human behavior in conversation, the foreground speaker uses a motorized device that rotates through a range of angles during recording. Twelve microphones carefully placed in the room record audio at a distance, each producing 120 hours of audio. It also contains various types of disturbing noise (TV, music, or murmuring). Record in real rooms of different sizes, capturing the different background sounds and reverbs of each room. This dataset was collected in a complex environment. On message boards, all languages are equal, and registered users can communicate with other users in their preferred language. You can also discuss with other registered users on the message board. Registered users can add, translate, take over, improve, discuss sentences. If the example sentence contains the corresponding real pronunciation, you can also click to listen. A website that collects example sentences for foreign language learners, and users can search for example sentences for any word without registering. The project started in 2006 when tatoeba is a large database of sentences, translations and spoken audio for language learning. And there is an open commitment: to make the high-quality speech data we collect open to startups, researchers, and anyone interested in speech technology. ![]() Mozilla claims to have the largest human speech dataset available, the current dataset includes 29 different languages, including Chinese, collected from over 40,000 contributors for nearly 2454 hours (1965 hours of which are verified) recorded voice data. ![]() In this article, I introduce 10 datasets commonly used in the field of speech analysis. We need a large volumen of speech data to help us complete and continuously optimize and improve speech recognition models.
0 Comments
Leave a Reply. |