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A Spectrogram in Haskell Anthony Assi Chris Egan Remy Pham Objective ● Create a visual representation of a WAV file to be analyzed ○ a spectrogram What is a spectrogram? ● a visual representation of a wave form, displaying different values on a graph ○ ○ ○ ● x axis - time y axis - frequency color gradient - intensity Can be used for many analytical and creative purposes ○ ○ distinguishing specific sounds based on sonic properties, such as words or animal calls assess placement of a waveform in the sonic spectrum (mixing, mastering, etc) Example Spectrogram Spectrogram of the human voice Methodology ● ● ● Explore Haskell’s mathematical capabilities Use FFT to decompose audio signal into frequencies with which it is composed Potentially use audio-related Haskell libraries Timeline Week 5: Research sound libraries for Haskell audio Week 6: Transform raw WAV audio data into a clean and usable Haskell data format Week 7: Research background information and sound libraries for FFT. Week 8: Apply Fourier Transforms to the imported audio data Week 9: Export data in a meaningful way, (potentially a list of 3-duples, time frequency, and intensity) Week 10: Visualize data with Haskell/another tool/language Risks ● ● ● Understanding and implementing Fourier Transforms (FFT) Building the spectrogram with a Haskell GUI or building it externally Difficulty with representation of audio data and applying it to the FFT
