Update README.md

README.md

@@ -33,6 +33,7 @@ There are two main types of audio datasets: speech datasets and audio event/musi
 * [Multimodal EmotionLines Dataset (MELD)](https://github.com/SenticNet/MELD) - Multimodal EmotionLines Dataset (MELD) has been created by enhancing and extending EmotionLines dataset. MELD contains the same dialogue instances available in EmotionLines, but it also encompasses audio and visual modality along with text. MELD has more than 1400 dialogues and 13000 utterances from Friends TV series. Each utterance in a dialogue has been labeled with— Anger, Disgust, Sadness, Joy, Neutral, Surprise and Fear. 
 * [NISQA Speech Quality Corpus](https://github.com/gabrielmittag/NISQA/wiki/NISQA-Corpus) - includes 14k speech samples with simulated (codecs, packet-loss, background noise) and live (mobile phone, Zoom, Skype, WhatsApp) voice call degradation conditions. Each file is labelled with subjective ratings of the overall quality and the quality dimensions Noisiness, Coloration, Discontinuity, and Loudness. 
 * [Noisy Dataset](https://datashare.is.ed.ac.uk/handle/10283/2791)- Clean and noisy parallel speech database. The database was designed to train and test speech enhancement methods that operate at 48kHz. Also known as VBD, Voice Bank + DEMAND. Speech samples from VCTK dataset.
+* [OpenSLR](https://openslr.org) - Many audio datasets (>109) published for speech recognition purposes. 
 * [Parkinson's speech dataset](https://archive.ics.uci.edu/ml/datasets/Parkinson+Speech+Dataset+with++Multiple+Types+of+Sound+Recordings) - The training data belongs to 20 Parkinson’s Disease (PD) patients and 20 healthy subjects. From all subjects, multiple types of sound recordings (26) are taken for this 20 MB set.
 * [Persian Consonant Vowel Combination (PCVC) Speech Dataset](https://github.com/S-Malek/PCVC) - The Persian Consonant Vowel Combination (PCVC) Speech Dataset is a Modern Persian speech corpus for speech recognition and also speaker recognition. This dataset contains 23 Persian consonants and 6 vowels. The sound samples are all possible combinations of vowels and consonants (138 samples for each speaker) with a length of 30000 data samples.
 * [The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS)](https://zenodo.org/record/1188976#.XrC7a5NKjOR) - The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS) contains 7356 files (total size: 24.8 GB). The database contains 24 professional actors (12 female, 12 male), vocalizing two lexically-matched statements in a neutral North American accent. Speech includes calm, happy, sad, angry, fearful, surprise, and disgust expressions, and song contains calm, happy, sad, angry, and fearful emotions.