void
collect_Audio_Data(){
printf( "Task PID=%u\r\n",nrk_get_pid());
int8_t fd, val, index;
uint16_t buf;
// Open ADC device as read
fd=nrk_open(FIREFLY_3_SENSOR_BASIC,READ);
if(fd==NRK_ERROR) nrk_kprintf(PSTR("Failed to open sensor driver\r\n"));
while(1)
{
val=nrk_set_status(fd,SENSOR_SELECT,AUDIO);
//8 KHZ sensor
nrk_spin_wait_us(125);
val=nrk_read(fd,&buf,2);
// printf( " audio=%d\r\n", buf);
nrk_led_clr(BLUE_LED);
nrk_led_clr(RED_LED);
nrk_led_toggle(RED_LED);
audio_data[index] = buf;
index++;
if(index == audio_data_size)
{
index =0;
calculate_rms(audio_data, audio_data_size);
// nrk_wait_until_next_period();
}
}
}
int main(int argc, char *argv[]) {
interpret_args(argc, argv);
// Open files and set info
open_source_file(filename);
dest_info.samplerate = 44100;
dest_info.channels = 2;
dest_info.format = SF_FORMAT_WAV ^ SF_FORMAT_PCM_16 ^ SF_ENDIAN_FILE;
open_dest_file(dest_file, &dest_info);
if (verbose) {
logger(NOTICE, "Sample rate: %d", source_info.samplerate);
logger(NOTICE, "Frames: %d", (int) source_info.frames);
logger(NOTICE, "Channels: %d", source_info.channels);
logger(NOTICE, "%s minutes long.", prettify_seconds(source_info.frames/(double) source_info.samplerate, 0));
}
// Calculate Root-Mean-Square of source sound
FRAMES_IN_RMS_FRAME = (source_info.samplerate*RMS_FRAME_DURATION)/1000; // (44100/1000)*20
RMS_FRAME_COUNT = ceil(source_info.frames/(float) FRAMES_IN_RMS_FRAME);
float *rms = malloc(2*RMS_FRAME_COUNT*sizeof(float));
calculate_rms(rms);
if (verbose) {
logger(NOTICE, "Calculated RMS!");
}
// Calculate RMS-derived features of long (1 second) frames
FRAMES_IN_LONG_FRAME = (source_info.samplerate*LONG_FRAME_DURATION)/1000; // (44100/1000)*20
LONG_FRAME_COUNT = ceil(source_info.frames/(float) FRAMES_IN_LONG_FRAME);
RMS_FRAMES_IN_LONG_FRAME = LONG_FRAME_DURATION/RMS_FRAME_DURATION;
float *mean_rms = malloc(2*LONG_FRAME_COUNT*sizeof(float));
float *variance_rms = malloc(2*LONG_FRAME_COUNT*sizeof(float));
float *norm_variance_rms = malloc(2*LONG_FRAME_COUNT*sizeof(float));
float *mler = malloc(2*LONG_FRAME_COUNT*sizeof(float));
calculate_features(rms, mean_rms, variance_rms, norm_variance_rms, mler);
logger(NOTICE, "Calculated features!");
// CLASSIFY
bool *is_music = malloc(2*LONG_FRAME_COUNT*sizeof(bool));
// Decide whether a given second segment is music or speech,
// based on the MLER value and the Upper Music Threshold
classify_segments(is_music, mler);
// The music-ness of the frame equals the average music-ness of itself and
// the two previous and next frames
average_musicness(is_music);
// Merge smaller segments with larger segments
segment *merged_segments = malloc(LONG_FRAME_COUNT*sizeof(segment));
int merged_segment_count = merge_segments(is_music, merged_segments);
// Finally, we write only the speech sections to the destination file
write_speech_to_file(merged_segments, merged_segment_count);
// Close files and free memory
bool file_close_success = finalize_files();
logger(WARNING, "Successfully generated %s!", output_path);
free(mean_rms);
free(variance_rms);
free(norm_variance_rms);
free(mler);
free(merged_segments);
free(is_music);
free(rms);
return !file_close_success;
}