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 * [LJ Speech](https://keithito.com/LJ-Speech-Dataset/) - This is a public domain speech dataset consisting of 13,100 short audio clips of a single speaker reading passages from 7 non-fiction books. A transcription is provided for each clip. Clips vary in length from 1 to 10 seconds and have a total length of approximately 24 hours.
 * [Microsoft Scalable Noisy Speech Dataset](https://github.com/microsoft/MS-SNSD) - 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.
 * [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.
 * [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.