Performance review
The performance was meant to entertain the persons who visited the Jazz bar in Toronto. The entire performance was entertaining as it involved a live musical performance with a live band present that adds the taste. The use of a mixture of instruments played live on the stage rather than recorded beats and sound track creates the perception of originality to the listeners. The performance has good beats and sound track. The person on stage is also lively thus transforming the power to the audience who enjoy the band from a distance. Additionally, the venue chosen for the performance was good since it is a Jazz club matching the type of genre played by the band. The major weakness of the performance is that, the words from the performer cannot be heard properly by persons enjoying the music as audience.
The event is a hyper celebration event where people gathered to celebrate something. The event involved both men and women who were treated to Jazz music. The event is pure entertainment to the audience. However, the event is marked by a few setbacks some of which include the ability of people to listen properly the words used in the music in order to understand the context of the performance. The venue of an event is an important aspect in evaluating the criteria to be used in interpreting an event. There some venues are attractive while others are dull thus providing an environment for either maximum musical experience or minimal musical experience. In the event, the audience contributes largely towards the performance through cheers at the end to show support and appreciation for the time taken. The audience judgement of the factor can be decided the performance since the first impression is always the right one.
Bibliography
Xu, Changsheng, Namunu C. Maddage, Xi Shao, Fang Cao, and Qi Tian. "Musical genre classification using support vector machines." In Acoustics, Speech, and Signal Processing, 2003. Proceedings.(ICASSP'03). 2003 IEEE International Conference on, vol. 5, pp. V-429. IEEE, 2003.
Goto, Masataka, Hiroki Hashiguchi, Takuichi Nishimura, and Ryuichi Oka. "RWC Music Database: Music genre database and musical instrument sound database." In ISMIR, vol. 3, pp. 229-230. 2003.
