Despite the technological improvement and arrival of new methodologies in the different process of a speech-based applications, a parallel development is not observed in the availability of audio-visual speech database. This paper provides a detailed hierarchical picture of the existing audio-visual speech database. Since the performance of a speech-based application deeply depends on the different parameters like the number of speakers, speaker variability, phonetically balanced sentences, recording quality etc. involved in the creation of a database to attain specific task. This paper gave more importance to these parameters involved in the exciting audio-visual speech database rather than the experimental side which need linguistic knowledge about the concerned language in the feature extraction task and classification task. This paper is arranged in such a way that a new face in this realm can capture the needy things to build a speech database in his language. In addition, this paper differs from other review papers in the aspect that it gives equal importance to the available audio-visual speech database in the resourced and under-resourced languages.
CITATION STYLE
Bibish Kumar, K. T., John, S., Muraleedharan, K. M., & Sunil Kumar, R. K. (2019). Hierarchical picture of existing audio-visual speech database. International Journal of Recent Technology and Engineering, 8(3), 8372–8379. https://doi.org/10.35940/ijrte.C6483.098319
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