# Speech Enhancement Algorithms: A Systematic Literature Review
## 4 Results and Discussion
\begin{table}
\begin{tabular}{c c c c} \hline \hline
**Dataset Name** & **References** & **Used** & **Description** & **Dataset’s Reference and/or Link** \\  & **Dataset** & & & \\ \hline CHiME-5 & [86] & A collection of recordings made in a home environment. It contains 6.5 h of audio from multiple microphone arrays. It is designed to test the systems performance in noisy environments. & [99], link: [[https://paperswithcode.com/dataset/chime-5](https://paperswithcode.com/dataset/chime-5)]([https://paperswithcode.com/dataset/chime-5](https://paperswithcode.com/dataset/chime-5)) (accessed on 28 December 2024). \\ \hline CHiME-4 & [53; 80] & The corpus consists of real data and simulated data. Real data is recorded in 4 real noisy environments and uttered by actual talkers. Where, the simulated one has been generated by artificially mixing clean data with real-world backgrounds noise. & [[https://www.chimechallenge.org/challenges/chime4/index](https://www.chimechallenge.org/challenges/chime4/index)]([https://www.chimechallenge.org/challenges/chime4/index](https://www.chimechallenge.org/challenges/chime4/index)) (accessed on 28 December 2024) \\ \hline NOISEX-92 & [1; 3; 15; 51; 53; 56; 92; 93] & It contains 15 common types of noise in real-world environments, with a length of about 4 min for each. These are highly non-stationary noises. & [100], link: [[http://svr-www.eng.cam.ac.uk/comp](http://svr-www.eng.cam.ac.uk/comp)]([http://svr-www.eng.cam.ac.uk/comp](http://svr-www.eng.cam.ac.uk/comp))\_speech/Section1 /Data/noise.html (accessed on 29 December 2024) \\ \hline DREGON & [78] & The dataset contains both clean and noisy in-flight audio recordings continuously annotated with the 3D position of the target sound source using an accurate motion capture system. & [101], link: [[http://dregon.inria.fr/datasets/dregon/](http://dregon.inria.fr/datasets/dregon/)]([http://dregon.inria.fr/datasets/dregon/](http://dregon.inria.fr/datasets/dregon/)) (accessed on 29 December 2024) \\ \hline TIMIT Dataset & [1; 3; 15; 51; 56; 60; 61; 64], 78; 84,86; 87,89; 92; 93], 95,97] & It is a standard dataset used for evaluation speech systems. It consists of 630 speakers of 8 dialects of American English each reading 10 phonetically rich sentences. & [102], link: [[https://paperswithcode.com/dataset/timit](https://paperswithcode.com/dataset/timit)]([https://paperswithcode.com/dataset/timit](https://paperswithcode.com/dataset/timit)) (accessed on 29 December 2024) \\ \hline NOIZEUS & [57; 71; 75; 79; 88; 95] & The noisy database contains 30 IEEE sentences (produced by three male and three female speakers) corrupted by eight different real-world noises at different SNRs. The noise was taken from the AURORA database. & [103], link: [[https://www.openslr.org/12](https://www.openslr.org/12)]([https://www.openslr.org/12](https://www.openslr.org/12)) (accessed on 30 December 2024) \\ \hline LibriSpeech & [61; 63; 86] & It is a collection of about 1000 h of spoken English speech generated from public domain audiobooks. It is widely used in speech processing research and features high audio quality and clean transcription. & [104], link: [[https://www.openslr.org/12](https://www.openslr.org/12)]([https://www.openslr.org/12](https://www.openslr.org/12)) (accessed on 30 December 2024) \\ \hline TSP Dataset & [69; 72] & It contains over 1400 utterances spoken by 24 speakers (half male, half female). The data was recorded in an anechoic room and includes the original samples (48 kHz sampling rate), and also the data filtered and subsampled to different sample rates. & [105], link: [[https://www.mmsp.ece.mcgill.ca/Documents/Data/](https://www.mmsp.ece.mcgill.ca/Documents/Data/)]([https://www.mmsp.ece.mcgill.ca/Documents/Data/](https://www.mmsp.ece.mcgill.ca/Documents/Data/)) (accessed on 30 December 2024) \\ \hline \hline \end{tabular}
\end{table} 
Table 9: Summary of datasets used in SEA research based on the retrieved articles.