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Job Resume TemplateDuplicated Audio Detection .net project features and function requirement. Share VB Project ideas and topics with us. Grate and many VB project ideas and topics . Here some VB project ideas for research paper. Here large collection of VB project with source code and database. We many idea to development application like mobile application,desktop software application,web application development. You can find more project topics and ideas on VB. Development ideas on Duplicated Audio Detection .net. You can find Top Downloaded VB projects here. Many project available to download with VB source code and database. Free download Duplicated Audio Detection .net project synopsis available.
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| Publish by | Hemakumar M |
| Project Name | Duplicated Audio Detection .net |
| Upload Date | June 26, 2020 |
| Platform | VB |
| Programming Language | .net framework 4.0v |
| Database | database |
| Front end | |
| Back end | |
| Project Type | desktop Application |
| View | 1170 |
Merely, all audio files that any person has on his computer are encoded in some format. Therefore, the first step (1) in the algorithm is decoding the input file to PCM (Pulse Code Modulation format). The PCM format can be considered the raw digital format of an analog signal, in which the magnitude of the signal is sampled regularly at uniform intervals, with each sample being quantized to the nearest value within a range of digital steps. After decoding goes the Mono conversion and sampling rate reduction. Particularly, the sampling rate, sample rate, or sampling frequency define the number of samples per second (or per other unit) taken from a continuous signal to make a discrete signal. For time-domain signals, the unit for sampling rate is 1/s. The inverse of the sampling frequency is the sampling period or sampling interval, which is the time between samples. As the analyzed frequency band in the algorithm lies within the range of 318 Hz and 2000 Hz, downsampling the input to 5512 Hz is considered a safe and, at the same time, a required operation. While reducing the sample rate (normally from 44100 Hz), we'll get rid of information which is not relevant from the human perceptual point of view, and will focus on important features of the signal. The preprocessing is done using the Bass.Net library (in my opinion, the best one for working with audio files). With the new version of the SoundFingerprinting framework, you can use NAudio library for the purposes outlined above. The only trouble with NAudio, is that you don't have that much flexibility in terms of supported audio formats.
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