Beispiel #1
0
static void magSpec_tilde_window(t_magSpec_tilde *x, t_floatarg w)
{
	int i, window, isPow2;
	
	window = w;
	
	isPow2 = window && !( (window-1) & window );
	
	if( !isPow2 )
		error("requested window size is not a power of 2");
	else
	{
		x->signal_R = (t_sample *)t_resizebytes(x->signal_R, (x->window+x->n) * sizeof(t_sample), (window+x->n) * sizeof(t_sample));
		x->blackman = (t_float *)t_resizebytes(x->blackman, x->window*sizeof(t_float), window*sizeof(t_float));
		x->cosine = (t_float *)t_resizebytes(x->cosine, x->window*sizeof(t_float), window*sizeof(t_float));
		x->hamming = (t_float *)t_resizebytes(x->hamming, x->window*sizeof(t_float), window*sizeof(t_float));
		x->hann = (t_float *)t_resizebytes(x->hann, x->window*sizeof(t_float), window*sizeof(t_float));

		x->window = (t_float)window;

		// re-init window functions
		tIDLib_blackmanWindow(x->blackman, x->window);
		tIDLib_cosineWindow(x->cosine, x->window);
		tIDLib_hammingWindow(x->hamming, x->window);
		tIDLib_hannWindow(x->hann, x->window);

		// init signal buffer
		for(i=0; i<(x->window+x->n); i++)
			x->signal_R[i] = 0.0;
					
		post("window size: %i", (int)x->window);
	}
}
Beispiel #2
0
static void *specCentroid_new(t_symbol *s)
{
    t_specCentroid *x = (t_specCentroid *)pd_new(specCentroid_class);
	int i;
	t_garray *a;

	x->x_centroid = outlet_new(&x->x_obj, &s_float);
	
	if(s)
	{
		x->x_arrayname = s;

	    if(!(a = (t_garray *)pd_findbyclass(x->x_arrayname, garray_class)))
	        ;
	    else if(!garray_getfloatwords(a, &x->x_arrayPoints, &x->x_vec))
	    	pd_error(x, "%s: bad template for specCentroid", x->x_arrayname->s_name);
	}
	else
		error("specCentroid: no array specified.");

	x->sr = 44100.0;
	x->window = 1; // should be a bogus size initially to force the proper resizes when a real _analyze request comes through
	x->windowFuncSize = 1;
	x->windowFunction = 4; // 4 is hann window
	x->powerSpectrum = 0; // choose mag (0) or power (1) spec in the specCentroid computation

	x->maxWindowSize = MAXWINDOWSIZE; // this seems to be the maximum size allowable by mayer_realfft();
	x->powersOfTwo = (int *)t_getbytes(sizeof(int));

	x->powersOfTwo[0] = 64; // must have at least this large of a window

	i=1;
	while(x->powersOfTwo[i-1] < x->maxWindowSize)
	{
		x->powersOfTwo = (int *)t_resizebytes(x->powersOfTwo, i*sizeof(int), (i+1)*sizeof(int));
		x->powersOfTwo[i] = pow(2, i+6); // +6 because we're starting at 2**6
		i++;
	}

	x->powTwoArrSize = i;

	x->signal_R = (t_sample *)t_getbytes(x->window*sizeof(t_sample));

	for(i=0; i<x->window; i++)
		x->signal_R[i] = 0.0;

  	x->blackman = (t_float *)t_getbytes(x->windowFuncSize*sizeof(t_float));
  	x->cosine = (t_float *)t_getbytes(x->windowFuncSize*sizeof(t_float));
  	x->hamming = (t_float *)t_getbytes(x->windowFuncSize*sizeof(t_float));
  	x->hann = (t_float *)t_getbytes(x->windowFuncSize*sizeof(t_float));

 	// initialize signal windowing functions
	tIDLib_blackmanWindow(x->blackman, x->windowFuncSize);
	tIDLib_cosineWindow(x->cosine, x->windowFuncSize);
	tIDLib_hammingWindow(x->hamming, x->windowFuncSize);
	tIDLib_hannWindow(x->hann, x->windowFuncSize);

    return (x);
}
Beispiel #3
0
static void *specSkewness_tilde_new(t_symbol *s, int argc, t_atom *argv)
{
    t_specSkewness_tilde *x = (t_specSkewness_tilde *)pd_new(specSkewness_tilde_class);
	int i, isPow2;
	s=s;

	x->x_skewness = outlet_new(&x->x_obj, &s_float);

	if(argc > 0)
	{
		x->window = atom_getfloat(argv);
		isPow2 = (int)x->window && !( ((int)x->window-1) & (int)x->window );

		if(!isPow2)
		{
			error("requested window size is not a power of 2. default value of 1024 used instead");
			x->window = 1024;
		};
	}
	else
		x->window = 1024;

	x->sr = 44100.0;
	x->n = 64.0;
	x->overlap = 1;
	x->windowFunction = 4; // 4 is hann window
	x->powerSpectrum = 0;
	x->lastDspTime = clock_getlogicaltime();

	x->signal_R = (t_sample *)t_getbytes((x->window+x->n) * sizeof(t_sample));

 	for(i=0; i<(x->window+x->n); i++)
		x->signal_R[i] = 0.0;

  	x->blackman = (t_float *)t_getbytes(x->window*sizeof(t_float));
  	x->cosine = (t_float *)t_getbytes(x->window*sizeof(t_float));
  	x->hamming = (t_float *)t_getbytes(x->window*sizeof(t_float));
  	x->hann = (t_float *)t_getbytes(x->window*sizeof(t_float));

 	// initialize signal windowing functions
	tIDLib_blackmanWindow(x->blackman, x->window);
	tIDLib_cosineWindow(x->cosine, x->window);
	tIDLib_hammingWindow(x->hamming, x->window);
	tIDLib_hannWindow(x->hann, x->window);

	x->binFreqs = (t_float *)t_getbytes(x->window*sizeof(t_float));

	// freqs for each bin based on current window size and sample rate
	for(i=0; i<x->window; i++)
		x->binFreqs[i] = (x->sr/x->window)*i;

    post("specSkewness~: window size: %i", (int)x->window);

    return (x);
}
Beispiel #4
0
static void *magSpec_tilde_new(t_symbol *s, int argc, t_atom *argv)
{
    t_magSpec_tilde *x = (t_magSpec_tilde *)pd_new(magSpec_tilde_class);
	int i, isPow2;
	s=s;
	
	x->x_mag = outlet_new(&x->x_obj, gensym("list"));
	
	if(argc > 0)
	{
		x->window = atom_getfloat(argv);
		isPow2 = (int)x->window && !( ((int)x->window-1) & (int)x->window );
		
		if(!isPow2)
		{
			error("requested window size is not a power of 2. default value of 1024 used instead");
			x->window = 1024;
		};
	}
	else
		x->window = 1024;	
	
	
	x->sr = 44100.0;
	x->n = 64.0;
	x->overlap = 1;
	x->windowFunction = 4; // 4 is hann window
	x->normalize = 1;
	x->powerSpectrum = 0;
	x->lastDspTime = clock_getlogicaltime();

	x->signal_R = (t_sample *)t_getbytes((x->window+x->n) * sizeof(t_sample));

 	for(i=0; i<(x->window+x->n); i++)
		x->signal_R[i] = 0.0;

  	x->blackman = (t_float *)t_getbytes(x->window*sizeof(t_float));
  	x->cosine = (t_float *)t_getbytes(x->window*sizeof(t_float));
  	x->hamming = (t_float *)t_getbytes(x->window*sizeof(t_float));
  	x->hann = (t_float *)t_getbytes(x->window*sizeof(t_float));

 	// initialize signal windowing functions
	tIDLib_blackmanWindow(x->blackman, x->window);
	tIDLib_cosineWindow(x->cosine, x->window);
	tIDLib_hammingWindow(x->hamming, x->window);
	tIDLib_hannWindow(x->hann, x->window);

    post("magSpec~: window size: %i", (int)x->window);
    
    return (x);
}
static void barkSpec_tilde_window(t_barkSpec *x, int w)
{
    int i, window, isPow2, oldNumFilters;
	
	window = w;
	
	isPow2 = window && !( (window-1) & window );
	
	if( !isPow2 )
		error("requested window size is not a power of 2");
	else
	{
		x->signal_R = (t_sample *)t_resizebytes_(x->signal_R, (x->window+x->n) * sizeof(t_sample), (window+x->n) * sizeof(t_sample));
		x->blackman = (t_float *)t_resizebytes_(x->blackman, x->window*sizeof(t_float), window*sizeof(t_float));
		x->cosine = (t_float *)t_resizebytes_(x->cosine, x->window*sizeof(t_float), window*sizeof(t_float));
		x->hamming = (t_float *)t_resizebytes_(x->hamming, x->window*sizeof(t_float), window*sizeof(t_float));
		x->hann = (t_float *)t_resizebytes_(x->hann, x->window*sizeof(t_float), window*sizeof(t_float));
        
		x->window = (t_float)window;
        
		// re-init window functions
		tIDLib_blackmanWindow(x->blackman, x->window);
		tIDLib_cosineWindow(x->cosine, x->window);
		tIDLib_hammingWindow(x->hamming, x->window);
		tIDLib_hannWindow(x->hann, x->window);
        
		// init signal buffer
		for(i=0; i<(x->window+x->n); i++)
			x->signal_R[i] = 0.0;
        
        oldNumFilters = x->numFilters;
		x->numFilters = tIDLib_getBarkFilterSpacing(&x->x_filterFreqs, x->sizeFilterFreqs, x->barkSpacing, x->sr);
        
		x->sizeFilterFreqs = x->numFilters+2;
        
		tIDLib_createFilterbank(x->x_filterFreqs, &x->x_filterbank, oldNumFilters, x->numFilters, x->window, x->sr);

		
		post("window size: %i", (int)x->window);
	}

}
Beispiel #6
0
static void specRolloff_tilde_window(t_specRolloff_tilde *x, t_floatarg w)
{
	int i, window, isPow2;

	window = w;

	isPow2 = window && !( (window-1) & window );

	if( !isPow2 )
		error("requested window size is not a power of 2");
	else
	{
		x->signal_R = (t_sample *)t_resizebytes(x->signal_R, (x->window+x->n) * sizeof(t_sample), (window+x->n) * sizeof(t_sample));
		x->blackman = (t_float *)t_resizebytes(x->blackman, x->window*sizeof(t_float), window*sizeof(t_float));
		x->cosine = (t_float *)t_resizebytes(x->cosine, x->window*sizeof(t_float), window*sizeof(t_float));
		x->hamming = (t_float *)t_resizebytes(x->hamming, x->window*sizeof(t_float), window*sizeof(t_float));
		x->hann = (t_float *)t_resizebytes(x->hann, x->window*sizeof(t_float), window*sizeof(t_float));
		x->binFreqs = (t_float *)t_resizebytes(x->binFreqs, x->window*sizeof(t_float), window*sizeof(t_float));

		x->window = (t_float)window;

		// re-init window functions
		tIDLib_blackmanWindow(x->blackman, x->window);
		tIDLib_cosineWindow(x->cosine, x->window);
		tIDLib_hammingWindow(x->hamming, x->window);
		tIDLib_hannWindow(x->hann, x->window);

		// init signal buffer
		for(i=0; i<(x->window+x->n); i++)
			x->signal_R[i] = 0.0;

		// freqs for each bin based on current window size and sample rate
		for(i=0; i<x->window; i++)
			x->binFreqs[i] = (x->sr/x->window)*i;

		post("window size: %i", (int)x->window);
	}
}
Beispiel #7
0
static void specCentroid_analyze(t_specCentroid *x, t_floatarg start, t_floatarg n)
{
	int i, j, oldWindow, window, windowHalf, startSamp, endSamp, lengthSamp;
    t_float dividend, divisor, centroid, *windowFuncPtr;
	t_sample *signal_I;
	t_garray *a;

	if(!(a = (t_garray *)pd_findbyclass(x->x_arrayname, garray_class)))
        pd_error(x, "%s: no such array", x->x_arrayname->s_name);
    else if(!garray_getfloatwords(a, &x->x_arrayPoints, &x->x_vec))
    	pd_error(x, "%s: bad template for specCentroid", x->x_arrayname->s_name);
	else
	{

	startSamp = start;
	startSamp = (startSamp<0)?0:startSamp;

	if(n)
		endSamp = startSamp + n-1;
	else
		endSamp = startSamp + x->window-1;

	if(endSamp > x->x_arrayPoints)
		endSamp = x->x_arrayPoints-1;

	lengthSamp = endSamp-startSamp+1;

	if(endSamp <= startSamp)
	{
		error("bad range of samples.");
		return;
	}

	if(lengthSamp > x->powersOfTwo[x->powTwoArrSize-1])
	{
		post("WARNING: specCentroid: window truncated because requested size is larger than the current max_window setting. Use the max_window method to allow larger windows.");
		lengthSamp = x->powersOfTwo[x->powTwoArrSize-1];
		window = lengthSamp;
		endSamp = startSamp + window - 1;
	}
	else
	{
		i=0;
		while(lengthSamp > x->powersOfTwo[i])
			i++;

		window = x->powersOfTwo[i];
	}

	windowHalf = window * 0.5;

	if(x->window != window)
	{
		oldWindow = x->window;
		x->window = window;

		x->signal_R = (t_sample *)t_resizebytes(x->signal_R, oldWindow*sizeof(t_sample), x->window*sizeof(t_sample));
	}

	if(x->windowFuncSize != lengthSamp)
	{
		x->blackman = (t_float *)t_resizebytes(x->blackman, x->windowFuncSize*sizeof(t_float), lengthSamp*sizeof(t_float));
		x->cosine = (t_float *)t_resizebytes(x->cosine, x->windowFuncSize*sizeof(t_float), lengthSamp*sizeof(t_float));
		x->hamming = (t_float *)t_resizebytes(x->hamming, x->windowFuncSize*sizeof(t_float), lengthSamp*sizeof(t_float));
		x->hann = (t_float *)t_resizebytes(x->hann, x->windowFuncSize*sizeof(t_float), lengthSamp*sizeof(t_float));

		x->windowFuncSize = lengthSamp;

		tIDLib_blackmanWindow(x->blackman, x->windowFuncSize);
		tIDLib_cosineWindow(x->cosine, x->windowFuncSize);
		tIDLib_hammingWindow(x->hamming, x->windowFuncSize);
		tIDLib_hannWindow(x->hann, x->windowFuncSize);
	}

	// create local memory
	signal_I = (t_sample *)t_getbytes((windowHalf+1)*sizeof(t_sample));

	// construct analysis window
	for(i=0, j=startSamp; j<=endSamp; i++, j++)
		x->signal_R[i] = x->x_vec[j].w_float;

	// set window function
	windowFuncPtr = x->hann; //default case to get rid of compile warning

	switch(x->windowFunction)
	{
		case 0:
			break;
		case 1:
			windowFuncPtr = x->blackman;
			break;
		case 2:
			windowFuncPtr = x->cosine;
			break;
		case 3:
			windowFuncPtr = x->hamming;
			break;
		case 4:
			windowFuncPtr = x->hann;
			break;
		default:
			break;
	};

	// if windowFunction == 0, skip the windowing (rectangular)
	if(x->windowFunction>0)
		for(i=0; i<lengthSamp; i++, windowFuncPtr++)
			x->signal_R[i] *= *windowFuncPtr;

	// then zero pad the end
	for(; i<window; i++)
		x->signal_R[i] = 0.0;

	mayer_realfft(window, x->signal_R);
	tIDLib_realfftUnpack(window, windowHalf, x->signal_R, signal_I);
	tIDLib_power(windowHalf+1, x->signal_R, signal_I);

	// power spectrum sometimes generates lower scores than magnitude. make it optional.
	if(!x->powerSpectrum)
		tIDLib_mag(windowHalf+1, x->signal_R);

	dividend=0;
	divisor=0;
	centroid=0;
	
	for(i=0; i<=windowHalf; i++)
		dividend += x->signal_R[i]*(i*(x->sr/window));  // weight by bin freq

	for(i=0; i<=windowHalf; i++)
		divisor += x->signal_R[i];
		
	if(divisor==0) divisor = 1; // don't divide by zero
	
	centroid = dividend/divisor;
		
	outlet_float(x->x_centroid, centroid);

	// free local memory
	t_freebytes(signal_I, (windowHalf+1)*sizeof(t_sample));
	}
}
void *specFlatness_new(t_symbol *s, long argc, t_atom *argv)
{
	t_specFlatness *x = (t_specFlatness *)object_alloc(specFlatness_class);
    int i, isPow2;
    double timef = 0.0;
	//s=s;
    
	if (x) {
		dsp_setup((t_pxobject *)x, 1);	// MSP inlets: arg is # of inlets and is REQUIRED! 
										// use 0 if you don't need inlets
		//outlet_new(x, "signal"); 		// signal outlet (note "signal" rather than NULL)
		//x->offset = 0.0;
        
        
        x->x_flatness = floatout(x);
        //x->x_flatness = outlet_new(&x->x_obj, &s_float);        
        
        if(argc > 1)
        {
            x->window = atom_getfloat(argv);
            isPow2 = (int)x->window && !( ((int)x->window-1) & (int)x->window );
            
            if(!isPow2)
            {
                error("requested window size is not a power of 2. default value of 1024 used instead");
                x->window = 1024;
            };
                      
        }
        else if(argc > 0)
        {
            x->window = atom_getfloat(argv);
            isPow2 = (int)x->window && !( ((int)x->window-1) & (int)x->window );
            
            if(!isPow2)
            {
                error("requested window size is not a power of 2. default value of 1024 used instead");
                x->window = 1024;
            };
            
            
        }
        else
        {
            x->window = 1024;
        };
        
        x->sr = 44100.0;
        x->n = 64.0;
        x->overlap = 1;
        x->windowFunction = 4; // 4 is hann window
        x->powerSpectrum = 0;
        //x->lastDspTime = clock_getlogicaltime();
        clock_getftime(&timef);
        x->lastDspTime = timef;
        
        x->signal_R = (t_sample *)t_getbytes_((x->window+x->n) * sizeof(t_sample));
        x->nthRoots = (t_float *)t_getbytes((x->window*0.5+1)*sizeof(t_float));
        
        for(i=0; i<(x->window+x->n); i++)
            x->signal_R[i] = 0.0;
        
        x->blackman = (t_float *)t_getbytes_(x->window*sizeof(t_float));
        x->cosine = (t_float *)t_getbytes_(x->window*sizeof(t_float));
        x->hamming = (t_float *)t_getbytes_(x->window*sizeof(t_float));
        x->hann = (t_float *)t_getbytes_(x->window*sizeof(t_float));
        
        // initialize signal windowing functions
        tIDLib_blackmanWindow(x->blackman, x->window);
        tIDLib_cosineWindow(x->cosine, x->window);
        tIDLib_hammingWindow(x->hamming, x->window);
        tIDLib_hannWindow(x->hann, x->window);
        
        post("specFlatness~: window size: %i", (int)x->window);
        
	}
	return (x);
}
void *barkSpec_new(t_symbol *s, long argc, t_atom *argv)
{
	t_barkSpec *x = (t_barkSpec *)object_alloc(barkSpec_class);
    int i, isPow2;
    double timef = 0.0;
	//s=s;
    
	if (x) {
		dsp_setup((t_pxobject *)x, 1);	// MSP inlets: arg is # of inlets and is REQUIRED! 
										// use 0 if you don't need inlets
		//outlet_new(x, "signal"); 		// signal outlet (note "signal" rather than NULL)
		//x->offset = 0.0;
        
        
        x->x_featureList = listout(x);
        //x->x_featureList = outlet_new(&x->x_obj, &s_float);        
        
        if(argc > 1)
        {
            x->window = atom_getlong(argv);  // should perform a check for >64 && power of two
            isPow2 = (int)x->window && !( ((int)x->window-1) & (int)x->window );
           
            if(!isPow2)
            {
                error("requested window size is not a power of 2. default value of 1024 used instead.");
                x->window = 1024;
            };
            
            x->barkSpacing = atom_getfloat(argv+1);
        }
        else if(argc > 0)
        {
            x->window = atom_getlong(argv);
            isPow2 = (int)x->window && !( ((int)x->window-1) & (int)x->window );
            
            if(!isPow2)
            {
                error("requested window size is not a power of 2. default value of 1024 used instead.");
                x->window = 1024;
            };
            
            x->barkSpacing = 0.5;
        }
        else
        {
            x->window = 1024;
            x->barkSpacing = 0.5;
        }
        
        x->sr = 44100.0;
        x->n = 64.0;
        x->overlap = 1;
        x->windowFunction = 4; // 4 is hann window
        x->powerSpectrum = 0; // choose mag (0) or power (1) spec
        x->normalize = 1; // this is generally a good thing, but should be off for concatenative synth
        x->filterAvg = 0;
        //x->lastDspTime = clock_getlogicaltime();
        clock_getftime(&timef);
        x->lastDspTime = timef;
        x->sizeFilterFreqs = 0;
        x->numFilters = 0; // this is just an init size that will be updated in createFilterbank anyway.
        
        x->signal_R = (t_sample *)t_getbytes_((x->window+x->n)*sizeof(t_sample));
        
        // initialize signal buffer
        for(i=0; i<x->window+x->n; i++)
            x->signal_R[i] = 0.0;
        
        x->blackman = (t_float *)t_getbytes_(x->window*sizeof(t_float));
        x->cosine = (t_float *)t_getbytes_(x->window*sizeof(t_float));
        x->hamming = (t_float *)t_getbytes_(x->window*sizeof(t_float));
        x->hann = (t_float *)t_getbytes_(x->window*sizeof(t_float));
        
        // initialize signal windowing functions
        tIDLib_blackmanWindow(x->blackman, x->window);
        tIDLib_cosineWindow(x->cosine, x->window);
        tIDLib_hammingWindow(x->hamming, x->window);
        tIDLib_hannWindow(x->hann, x->window);
        
        // grab memory
        x->x_filterbank = (t_filter *)t_getbytes_(0);
        x->x_filterFreqs = (t_float *)t_getbytes_(0);
        
        x->numFilters = tIDLib_getBarkFilterSpacing(&x->x_filterFreqs, x->sizeFilterFreqs, x->barkSpacing, x->sr);
        
        x->sizeFilterFreqs = x->numFilters+2;
        
        tIDLib_createFilterbank(x->x_filterFreqs, &x->x_filterbank, 0, x->numFilters, x->window, x->sr);
        
	}
	return (x);
}
Beispiel #10
0
static void *bark_new(t_symbol *s, t_floatarg w, t_floatarg h, t_floatarg bs)
{
    t_bark *x = (t_bark *)pd_new(bark_class);
	int i, isPow2;
	t_garray *a;

	x->x_timeOut = outlet_new(&x->x_obj, &s_float);
	x->x_growthOut = outlet_new(&x->x_obj, &s_float);
	x->x_outputList = outlet_new(&x->x_obj, gensym("list"));

	if(bs)
	{
		x->x_arrayname = s;

	    if(!(a = (t_garray *)pd_findbyclass(x->x_arrayname, garray_class)))
	        ;
	    else if(!garray_getfloatwords(a, &x->x_array_points, &x->x_vec))
	    	pd_error(x, "%s: bad template for bark", x->x_arrayname->s_name);

		isPow2 = (int)w && !( ((int)w-1) & (int)w );

		if( !isPow2 )
		{
			error("requested window size is not a power of 2. using default value of 2048 instead.");
			x->window = 2048;
		}
		else
			x->window = w;

		if(h<0)
		{
			error("hop value must be > 0. default value of 128 samples used instead.");
			x->hop = 128;
		}
		else
			x->hop = h;

		x->barkSpacing = bs;
	}
	else if(h)
	{
		x->x_arrayname = s;

	    if(!(a = (t_garray *)pd_findbyclass(x->x_arrayname, garray_class)))
	        ;
	    else if(!garray_getfloatwords(a, &x->x_array_points, &x->x_vec))
	    	pd_error(x, "%s: bad template for bark", x->x_arrayname->s_name);

		isPow2 = (int)w && !( ((int)w-1) & (int)w );

		if( !isPow2 )
		{
			error("requested window size is not a power of 2. using default value of 2048 instead.");
			x->window = 2048;
		}
		else
			x->window = w;

		if(h<0)
		{
			error("hop value must be > 0. default value of 128 samples used instead.");
			x->hop = 128;
		}
		else
			x->hop = h;

		x->barkSpacing = 0.5;
	}
	else if(w)
	{
		x->x_arrayname = s;

	    if(!(a = (t_garray *)pd_findbyclass(x->x_arrayname, garray_class)))
	        ;
	    else if(!garray_getfloatwords(a, &x->x_array_points, &x->x_vec))
	    	pd_error(x, "%s: bad template for bark", x->x_arrayname->s_name);

		isPow2 = (int)w && !( ((int)w-1) & (int)w );

		if( !isPow2 )
		{
			error("requested window size is not a power of 2. using default value of 2048 instead.");
			x->window = 2048;
		}
		else
			x->window = w;

		x->hop = 128;

		x->barkSpacing = 0.5;
	}
	else if(s)
	{
		x->x_arrayname = s;

	    if(!(a = (t_garray *)pd_findbyclass(x->x_arrayname, garray_class)))
	        ;
	    else if(!garray_getfloatwords(a, &x->x_array_points, &x->x_vec))
	    	pd_error(x, "%s: bad template for bark", x->x_arrayname->s_name);

		x->window = 2048;
		x->hop = 128;
		x->barkSpacing = 0.5;
	}
	else
	{
		error("bark: no array specified.");
		x->window = 2048;
		x->hop = 128;
		x->barkSpacing = 0.5;
	}

	x->debug = 0;
	x->sr = 44100.0;
	x->n = BLOCKSIZE;
	x->windowFunction = 4; // 4 is hann window
	x->powerSpectrum = 1; // choose mag (0) or power (1) spec
	x->normalize = 0;
	x->filterAvg = 0;
	x->loThresh = 3;
	x->hiThresh = 7;
	x->minvel = 1.0;
	x->haveHit = 0;
	x->debounceTime = 20;
	x->debounceSamp = x->debounceTime*0.001*x->sr;
	x->debounceActive = -1;
	x->maskDecay = 0.7;
	x->maskPeriods = 4;
	x->numFilters = 0;
	x->prevTotalGrowth = 0.0;
	x->useWeights = 0;
	x->spew = 0;

	x->signalBuf = (t_sample *)t_getbytes(x->window * sizeof(t_sample));
	x->analysisBuf = (t_float *)t_getbytes(x->window * sizeof(t_float));

	for(i=0; i<x->window; i++)
	{
		x->signalBuf[i] = 0.0;
		x->analysisBuf[i] = 0.0;
	}

  	x->blackman = (t_float *)t_getbytes(x->window*sizeof(t_float));
  	x->cosine = (t_float *)t_getbytes(x->window*sizeof(t_float));
  	x->hamming = (t_float *)t_getbytes(x->window*sizeof(t_float));
  	x->hann = (t_float *)t_getbytes(x->window*sizeof(t_float));

 	// initialize signal windowing functions
	tIDLib_blackmanWindow(x->blackman, x->window);
	tIDLib_cosineWindow(x->cosine, x->window);
	tIDLib_hammingWindow(x->hamming, x->window);
	tIDLib_hannWindow(x->hann, x->window);

	// grab memory
	x->x_filterbank = (t_filter *)t_getbytes(0);
	x->x_filterFreqs = (t_float *)t_getbytes(0);

	x->numFilters = tIDLib_getBarkFilterSpacing(&x->x_filterFreqs, x->sizeFilterFreqs, x->barkSpacing, x->sr);

	x->sizeFilterFreqs = x->numFilters+2;

	tIDLib_createFilterbank(x->x_filterFreqs, &x->x_filterbank, 0, x->numFilters, x->window, x->sr);

	x->loBin = 0;
	x->hiBin = x->numFilters-1;

	x->mask = (t_float *)t_getbytes(x->numFilters*sizeof(t_float));
	x->growth = (t_float *)t_getbytes(x->numFilters*sizeof(t_float));
	x->numPeriods = (int *)t_getbytes(x->numFilters*sizeof(int));
	x->growthList = (t_atom *)t_getbytes(x->numFilters*sizeof(t_atom));
	x->loudWeights = (t_float *)t_getbytes(x->numFilters*sizeof(t_float));

	for(i=0; i<x->numFilters; i++)
	{
		x->mask[i] = 0.0;
		x->growth[i] = 0.0;
		x->numPeriods[i] = 0.0;
		SETFLOAT(x->growthList+i, 0.0);
		x->loudWeights[i] = 0.0;
	}

	bark_create_loudness_weighting(x);

    post("bark 0.0.6: window size: %i, hop: %i", (int)x->window, x->hop);

    return (x);
}
Beispiel #11
0
static void *barkSpec_tilde_new(t_symbol *s, int argc, t_atom *argv)
{
	t_barkSpec_tilde *x = (t_barkSpec_tilde *)pd_new(barkSpec_tilde_class);
	int i, isPow2;
	s=s;

	x->x_featureList = outlet_new(&x->x_obj, gensym("list"));

	if(argc > 1)
	{
		x->window = atom_getfloat(argv);  // should perform a check for >64 && power of two
		isPow2 = (int)x->window && !( ((int)x->window-1) & (int)x->window );

		if(!isPow2)
		{
			error("requested window size is not a power of 2. default value of 1024 used instead.");
			x->window = 1024;
		};

		x->barkSpacing = atom_getfloat(argv+1);
	}
	else if(argc > 0)
	{
		x->window = atom_getfloat(argv);
		isPow2 = (int)x->window && !( ((int)x->window-1) & (int)x->window );

		if(!isPow2)
		{
			error("requested window size is not a power of 2. default value of 1024 used instead.");
			x->window = 1024;
		};

		x->barkSpacing = 0.5;
	}
	else
	{
		x->window = 1024;
		x->barkSpacing = 0.5;
	}

	x->sr = 44100.0;
	x->n = 64.0;
	x->overlap = 1;
	x->windowFunction = 4; // 4 is hann window
	x->powerSpectrum = 0; // choose mag (0) or power (1) spec
	x->normalize = 1; // this is generally a good thing, but should be off for concatenative synth
	x->filterAvg = 0;
	x->lastDspTime = clock_getlogicaltime();
	x->sizeFilterFreqs = 0;
	x->numFilters = 0; // this is just an init size that will be updated in createFilterbank anyway.

	x->signal_R = (t_sample *)t_getbytes((x->window+x->n)*sizeof(t_sample));

	// initialize signal buffer
	for(i=0; i<x->window+x->n; i++)
		x->signal_R[i] = 0.0;

  	x->blackman = (t_float *)t_getbytes(x->window*sizeof(t_float));
  	x->cosine = (t_float *)t_getbytes(x->window*sizeof(t_float));
  	x->hamming = (t_float *)t_getbytes(x->window*sizeof(t_float));
  	x->hann = (t_float *)t_getbytes(x->window*sizeof(t_float));

 	// initialize signal windowing functions
	tIDLib_blackmanWindow(x->blackman, x->window);
	tIDLib_cosineWindow(x->cosine, x->window);
	tIDLib_hammingWindow(x->hamming, x->window);
	tIDLib_hannWindow(x->hann, x->window);

	// grab memory
	x->x_filterbank = (t_filter *)t_getbytes(0);
	x->x_filterFreqs = (t_float *)t_getbytes(0);

	x->numFilters = tIDLib_getBarkFilterSpacing(&x->x_filterFreqs, x->sizeFilterFreqs, x->barkSpacing, x->sr);

	x->sizeFilterFreqs = x->numFilters+2;

	tIDLib_createFilterbank(x->x_filterFreqs, &x->x_filterbank, 0, x->numFilters, x->window, x->sr);

	return (x);
}