static std::vector<float> train_snap_points;
static bool do_train = false;
+// The minimum estimated sound level (for do_auto_level) at any given point.
+// If you decrease this, you'll be able to amplify really silent signals
+// by more, but you'll also increase the level of silent (ie. noise-only) segments,
+// possibly caused misdetected pulses in these segments.
+static float min_level = 0.05f;
+
// between [x,x+1]
double find_zerocrossing(const std::vector<float> &pcm, int x)
{
fprintf(stderr, "\n");
fprintf(stderr, " -a, --auto-level automatically adjust amplitude levels throughout the file\n");
fprintf(stderr, " -A, --output-leveled output leveled waveform to leveled.raw\n");
+ fprintf(stderr, " -m, --min-level minimum estimated sound level (0..32768) for --auto-level\n");
fprintf(stderr, " -s, --no-calibrate do not try to calibrate on sync pulse length\n");
fprintf(stderr, " -p, --plot-cycles output debugging info to cycles.plot\n");
fprintf(stderr, " -l, --hysteresis-limit VAL change amplitude threshold for ignoring pulses (0..32768)\n");
{
for ( ;; ) {
int option_index = 0;
- int c = getopt_long(argc, argv, "aAspl:f:Fc:t:qh", long_options, &option_index);
+ int c = getopt_long(argc, argv, "aAm:spl:f:Fc:t:qh", long_options, &option_index);
if (c == -1)
break;
output_leveled = true;
break;
+ case 'm':
+ min_level = atof(optarg) / 32768.0;
+ break;
+
case 's':
do_calibrate = false;
break;
void spsa_train(std::vector<float> &pcm, int sample_rate)
{
- // Train!
float filter[NUM_FILTER_COEFF] = { 1.0f }; // The rest is filled with 0.
float start_c = INITIAL_C;
}
if (do_auto_level) {
- pcm = level_samples(pcm, sample_rate);
+ pcm = level_samples(pcm, min_level, sample_rate);
if (output_leveled) {
FILE *fp = fopen("leveled.raw", "wb");
fwrite(pcm.data(), pcm.size() * sizeof(pcm[0]), 1, fp);