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MIT 6 111 - The Singing River Project

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The Singing River ProjectKyle GilpinKushan SuranaAndrew WongWhat is it?Description Inputs: video image of hand w/ laser reflection, external sound source.  Output: external sound source shifted in pitch and volume as specified by hand.Applications New musical instrument, similar to the Theremin, but allows control over natural sounds (voice, river, 60Hz noise).  Allows discovery of new timbres in music, sound synthesis.  Allows multi-person control over one instrument: one person controls sound input timbre, second person controls frequency and volume.Overall Block DiagramCameraControlleron/offLaserCameraz-positionto gainconversionx-positionto frequencyconversionExternalSoundAtoDRAMTime to FrequencyConversion(Autocorrelation)PeakDetectionDAudio OutPitchShifterVision Subsystem Detect the position of an object within a 2-dimensional field of view. Components: laserline generator  optical bandpass filter  B/W CCD camera Very few environmental constraints for accurate detectionPhysical SetupImage courtesy of Ken MaxonBlock DiagramExampleImages courtesy of Ken MaxonGoals Reliably detect the presence of the user's hand Accurately estimate the x- and z-coordinates of an object in the camera's field of view Provide a range of 64 steps on the z-axis Provide a range of 128 steps on the x-axis Exhibit sufficient noise accuracy so that the outputs vary by no more than ±1 LSBApplications Robotics obstacle avoidance map building Manufacturing computer chip placement quality control Face recognitionEstimating F0 Goal is to measure the fundamental frequency of the input source Constraining the input source’s frequency spectrum to not change too rapidlyAutocorrelation Perception of periodicity is related to the time-domain. Idea is to measure how well the signal correlates with itself for a range of delays Lags corresponding to the fundamental period and the higher order resonances will correspond to the maxima∑==−])[(0][][kxlengthlaglaglagkxkxResponse time Sampling the input signal at a rate of 40KHz Goal is to update the fundamental frequency every 1/10 sec. Using a 10 MHz clock, that allows 10^6 clock cycles to compute F0!Autocorrelation functionhttp://web.mit.edu/wonga/www/9.29/index.htmA/D conversion National Semiconductor ADC12441 A/D converter 13-bit resolution 13.8us conversion time parallel interface accepts both negative and positive input voltages within any input range we defineBlock DiagramA/DLow PassMajor FSMMinor FSM1, 2 ….REgRAMRAM Corr. UnitPeakDetectorUnitsyncclk, sampleDemo Input sourceEstimate of F0 (1)Estimate of F0 (2)Pitch Shifting Concept: to change pitch from f1 to f2, play back the sound at rate f2/f1.  Problem: length of time changes.  Solution: First expand sound sample to appropriate size, then play back at new rate.Time Expansion/Compression Implemented using SOLAF – Synchronous Overlap Add at Fixed Synthesis (Don Hejna).How to determine kmCrossign: not(xor(sign bits))Basically, if both are positive or both negative, + 1, otherwise + 0.Resampling Actually the sampling rate is fixed--just pick points in sound at different intervals.1995 MIDI Manufacturers AssociationDemo Original, F1 is 110Hz Stretched to double length Played back twice rate (every other point) resulting in 220HzBlock DiagramAnalog Output 12-bit digital to analog conversion (Analog Devices AD7845) 4thOrder low-pass filter Digitally controlled potentiometer to control gain (Microchip MCP410XX) Power amplifier to drive speakerQ/A


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MIT 6 111 - The Singing River Project

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