| S/N | Database | Language | Year | Size of database | Data format | Emotions |
| 1 | RAVDESS [16] | English | 2018 | 7356 recordings by 24 actors | Audio-visual | Happy, angry, calm, sad, fearful, disgust, surprise, neutral |
| 2 | EmoDB [11] | German | 2005 | 800 recordings by 10 actors | Audio | Joy, boredom, fear, sadness, anger, disgust, neutral |
| 3 | IEMOCAP [14] | English | 2008 | 12 hours of data by 10 actors | Audio-visual | Happiness, anger, sadness, frustration, neutral |
| 4 | SUBESCO [12] | Bangla | 2021 | 7 hours of recordings containing 7,000 utterances by 20 native speakers | Audio | Happiness, anger, sadness, fear, surprise, disgust, neutral |
| 5 | FAU AIBO [6] | German | 2008 | 9.2 hours of speech by 51 children talking to robot Aibo | Audio | Angry, emphatic, neutral, positive, rest |
| 6 | BanglaSER [17] | Bangla | 2022 | 1,467 recording by 34 actors | Audio | Angry, happy, neutral, sad, surprise |
| 7 | MELD [7] | English | 2018 | 13,000 utterances from the TV-series friends by multiple speakers | Audio-visual and textual | Anger, fear, joy, surprise, sadness, disgust, neutral |
| 8 | AESDD [18] | Greek | 2018 | 500 utterances from 5 different actors | Audio | Anger, disgust, fear, happiness, sadness |
| 9 | SAVEE [13] | English | 2014 | 480 British English utterances by 4 male actors | Audio-visual | Disgust, fear, anger, happiness, sadness, surprise, neutral |
| 10 | RECOLA [19] | French | 2013 | 3.8 hours of recordings by 46 participants | Audio-visual | Social behaviors (agreement, dominance, engagement, performance, rapport) |
| 11 | CHEAVD [8] | Chinese | 2017 | 140 min emotional segments extracted from talk shows, TV plays, and films by 238 speakers | Audio-visual | Angry, fear, happy, neutral, sad, surprise |
| 12 | LSSED [20] | English | 2020 | 147,025 utterances from 820 subjects | Audio | Happiness, fear, anger, excitement, sadness, boredom, disappointment, disgust, surprise, normal and other |
| 13 | Urdu [2] | Urdu | 2018 | 400 utterances by 38 speakers from Urdu talk shows | Audio | Angry, happy, neutral, sad |
| 14 | Urdu-Sindhi speech emotion corpus [21] | Urdu, Sindhi | 2020 | 1435 speech recordings | Audio | Happiness, anger, sadness, disgust, surprise, sarcasm, neutral |
| 15 | IITKGP-SEHSC [22] | Hindi | 2011 | 12000 utterances by 10 professionals | Audio | Happy, anger, fear, disgust, surprise, sad, sarcastic, neutral |
| 16 | KSUEmotions [23] | Arabic | 2017 | 5 hours and 10 minutes of recordings by 23 speakers | Audio | Neutral, happiness, sadness, surprise, anger |
| 17 | Oriya emotional speech database [15] | Oriya | 2010 | 900 emotional utterances for text fragments from various drama scripts of Oriya language by 35 Oriya speakers | Audio | Happiness, sadness, astonish, anger, fear, neutral |
| 18 | Mandarin Chinese emotional speech database [24] | Mandarin | 2008 | 3,400 emotional speech utterances by 18 males and 16 females | Audio | Anger, happiness, sadness, boredom, neutral |
| 19 | CASIA natural emotional audio-visual database [9] | Chinese | 2014 | 2 hours spontaneous emotional segments extracted from 219 speakers from films, TV plays and talk shows | Audio-visual | Happy, angry, disgust, surprise, worried, sad, fear |
| 20 | Egyptian Arabic speech emotion (EYASE) database [25] | Arabic | 2020 | 579 utterances by 3 male and 3 female professional actors from Egyptian TV series | Audio-visual | Angry, happy, neutral, sad |
| 21 | Interface multilingual emotional speech database [26] | English, French, Spanish and Slovenian | 2002 | In English interface database contains 8,928 utterances, Slovenian 6,080, French 5,600 and Spanish 5,520 by 2 actors | Audio | Joy, disgust, anger, fear, sadness, surprise, neutral |
| 22 | Toronto emotional speech set (TESS) [27] | English | 2010 | 2,800 utterances by 2 actresses | Audio | Happiness, anger, sadness, disgust, pleasant surprise, fear, neutral |
| 23 | ANAD [28] | Arabic | 2018 | 1,384 recordings from Arabic talk shows | Audio | Happy, angry, surprised |
| 24 | Multilingual emotional speech database of north east India (MESDNEI) [29] | Assamese | 2009 | 4,200 utterances of 5 native languages of Assam by 30 speakers | Audio | Sadness, anger, fear, disgust, happiness, surprise, neutral |
| 25 | ShEMO [10] | Persian | 2019 | Speech data of 3 hours and 25 minutes from online radio plays | Audio | Anger, fear, happiness, sadness, surprise, neutral |
| 26 | SEMOUR+: a scripted emotional speech repository for Urdu [30] | Urdu | 2021 | 27,640 instances recorded by 24 actors | Audio | Anger, happiness, surprise, disgust, sadness boredom, fearful, neutral |
| 27 | Arabic natural corpus [28] | Arabic | 2018 | 1,384 recordings from online Arabic talk shows | Audio | Angry, surprised, happy |
| 28 | EMOVO [31] | Italian | 2014 | 588 utterances of 14 sentences by 6 actors | Audio | Joy, sadness, anger, disgust, fear, surprise, neutral |
| 29 | Punjabi emotional speech database [32] | Punjabi | 2021 | 900 utterances by 15 speakers | Audio | Happy, angry, sad, fear, surprise, neutral |
| 30 | IITKGP-SESC [33] | Telegu | 2009 | 12,000 utterances by 10 professionals | Audio | Happy, anger, sad, disgust, fear, sarcastic, surprise, neutral |
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