tomwalters@12: // Copyright 2010, Thomas Walters
tomwalters@12: //
tomwalters@12: // AIM-C: A C++ implementation of the Auditory Image Model
tomwalters@12: // http://www.acousticscale.org/AIMC
tomwalters@12: //
tomwalters@12: // This program is free software: you can redistribute it and/or modify
tomwalters@12: // it under the terms of the GNU General Public License as published by
tomwalters@12: // the Free Software Foundation, either version 3 of the License, or
tomwalters@12: // (at your option) any later version.
tomwalters@12: //
tomwalters@12: // This program is distributed in the hope that it will be useful,
tomwalters@12: // but WITHOUT ANY WARRANTY; without even the implied warranty of
tomwalters@12: // MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
tomwalters@12: // GNU General Public License for more details.
tomwalters@12: //
tomwalters@12: // You should have received a copy of the GNU General Public License
tomwalters@12: // along with this program. If not, see .
tomwalters@12:
tomwalters@12: /*!
tomwalters@12: * \author Thomas Walters
tomwalters@12: * \date created 2010/02/19
tomwalters@12: * \version \$Id$
tomwalters@12: */
tomwalters@12:
tomwalters@15: #include
tomwalters@15:
tomwalters@12: #include "Modules/SSI/ModuleSSI.h"
tomwalters@12:
tomwalters@12: namespace aimc {
tomwalters@12: ModuleSSI::ModuleSSI(Parameters *params) : Module(params) {
tomwalters@12: module_description_ = "Size-shape image (aka the 'sscAI')";
tomwalters@12: module_identifier_ = "ssi";
tomwalters@12: module_type_ = "ssi";
tomwalters@12: module_version_ = "$Id$";
tomwalters@12:
tomwalters@32: // Cut off the SSI at the end of the first cycle
tomwalters@32: do_pitch_cutoff_ = parameters_->DefaultBool("ssi.pitch_cutoff", false);
tomwalters@32:
tomwalters@32: // Weight the values in each channel more strongly if the channel was
tomwalters@32: // truncated due to the pitch cutoff. This ensures that the same amount of
tomwalters@32: // energy remains in the SSI spectral profile
tomwalters@32: weight_by_cutoff_ = parameters_->DefaultBool("ssi.weight_by_cutoff", false);
tomwalters@32:
tomwalters@32: // Weight the values in each channel more strongly if the channel was
tomwalters@32: // scaled such that the end goes off the edge of the computed SSI.
tomwalters@32: // Again, this ensures that the overall energy of the spectral profile
tomwalters@32: // remains the same.
tomwalters@32: weight_by_scaling_ = parameters_->DefaultBool("ssi.weight_by_scaling",
tomwalters@32: false);
tomwalters@32:
tomwalters@32: // Time from the zero-lag line of the SAI from which to start searching
tomwalters@32: // for a maximum in the input SAI's temporal profile.
tomwalters@32: pitch_search_start_ms_ = parameters_->DefaultFloat(
tomwalters@32: "ssi.pitch_search_start_ms", 2.0f);
tomwalters@32:
tomwalters@32: // Total width in cycles of the whole SSI
tomwalters@32: ssi_width_cycles_ = parameters_->DefaultFloat("ssi.width_cycles", 10.0f);
tomwalters@32:
tomwalters@32: // Set to true to make the cycles axis logarithmic (ie indexing by gamma
tomwalters@32: // rather than by cycles)
tomwalters@32: log_cycles_axis_ = parameters_->DefaultBool("ssi.log_cycles_axis", true);
tomwalters@32:
tomwalters@32: // The centre frequency of the channel which will just fill the complete
tomwalters@32: // width of the SSI buffer
tomwalters@32: pivot_cf_ = parameters_->DefaultFloat("ssi.pivot_cf", 1000.0f);
tomwalters@12: }
tomwalters@12:
tomwalters@12: ModuleSSI::~ModuleSSI() {
tomwalters@12: }
tomwalters@12:
tomwalters@12: bool ModuleSSI::InitializeInternal(const SignalBank &input) {
tomwalters@12: // Copy the parameters of the input signal bank into internal variables, so
tomwalters@12: // that they can be checked later.
tomwalters@12: sample_rate_ = input.sample_rate();
tomwalters@12: buffer_length_ = input.buffer_length();
tomwalters@12: channel_count_ = input.channel_count();
tomwalters@12:
tomwalters@32: ssi_width_samples_ = sample_rate_ * ssi_width_cycles_ / pivot_cf_;
tomwalters@15: if (ssi_width_samples_ > buffer_length_) {
tomwalters@15: ssi_width_samples_ = buffer_length_;
tomwalters@32: float cycles = ssi_width_samples_ * pivot_cf_ / sample_rate_;
tomwalters@15: LOG_INFO(_T("Requested SSI width of %f cycles is too long for the "
tomwalters@15: "input buffer length of %d samples. The SSI will be "
tomwalters@15: "truncated at %d samples wide. This corresponds to a width "
tomwalters@15: "of %f cycles."), ssi_width_cycles_, buffer_length_,
tomwalters@15: ssi_width_samples_, cycles);
tomwalters@15: ssi_width_cycles_ = cycles;
tomwalters@15: }
tomwalters@15: output_.Initialize(channel_count_, ssi_width_samples_, sample_rate_);
tomwalters@12: return true;
tomwalters@12: }
tomwalters@12:
tomwalters@12: void ModuleSSI::ResetInternal() {
tomwalters@12: }
tomwalters@12:
tomwalters@32: int ModuleSSI::ExtractPitchIndex(const SignalBank &input) const {
tomwalters@32: // Generate temporal profile of the SAI
tomwalters@32: vector sai_temporal_profile(buffer_length_, 0.0f);
tomwalters@32: for (int i = 0; i < buffer_length_; ++i) {
tomwalters@32: float val = 0.0f;
tomwalters@32: for (int ch = 0; ch < channel_count_; ++ch) {
tomwalters@32: val += input.sample(ch, i);
tomwalters@32: }
tomwalters@32: sai_temporal_profile[i] = val;
tomwalters@32: }
tomwalters@32:
tomwalters@32: // Find pitch value
tomwalters@32: int start_sample = floor(pitch_search_start_ms_ * sample_rate_ / 1000.0f);
tomwalters@32: int max_idx = 0;
tomwalters@32: float max_val = 0.0f;
tomwalters@32: for (int i = start_sample; i < buffer_length_; ++i) {
tomwalters@32: if (sai_temporal_profile[i] > max_val) {
tomwalters@32: max_idx = i;
tomwalters@32: max_val = sai_temporal_profile[i];
tomwalters@32: }
tomwalters@32: }
tomwalters@32: return max_idx;
tomwalters@32: }
tomwalters@32:
tomwalters@12: void ModuleSSI::Process(const SignalBank &input) {
tomwalters@12: // Check to see if the module has been initialized. If not, processing
tomwalters@12: // should not continue.
tomwalters@12: if (!initialized_) {
tomwalters@13: LOG_ERROR(_T("Module %s not initialized."), module_identifier_.c_str());
tomwalters@12: return;
tomwalters@12: }
tomwalters@12:
tomwalters@12: // Check that ths input this time is the same as the input passed to
tomwalters@12: // Initialize()
tomwalters@12: if (buffer_length_ != input.buffer_length()
tomwalters@12: || channel_count_ != input.channel_count()) {
tomwalters@12: LOG_ERROR(_T("Mismatch between input to Initialize() and input to "
tomwalters@13: "Process() in module %s."), module_identifier_.c_str());
tomwalters@12: return;
tomwalters@12: }
tomwalters@12:
tomwalters@15: output_.set_start_time(input.start_time());
tomwalters@12:
tomwalters@32: int pitch_index = buffer_length_ - 1;
tomwalters@32: if (do_pitch_cutoff_) {
tomwalters@32: pitch_index = ExtractPitchIndex(input);
tomwalters@32: }
tomwalters@32:
tomwalters@15: for (int ch = 0; ch < channel_count_; ++ch) {
tomwalters@32: float centre_frequency = input.centre_frequency(ch);
tomwalters@15: // Copy the buffer from input to output, addressing by h-value
tomwalters@15: for (int i = 0; i < ssi_width_samples_; ++i) {
tomwalters@32: float h;
tomwalters@32: float cycle_samples = sample_rate_ / centre_frequency;
tomwalters@32: if (log_cycles_axis_) {
tomwalters@32: float gamma_min = -1.0f;
tomwalters@32: float gamma_max = log2(ssi_width_cycles_);
tomwalters@32: float gamma = gamma_min + (gamma_max - gamma_min)
tomwalters@32: * static_cast(i)
tomwalters@32: / static_cast(ssi_width_samples_);
tomwalters@32: h = pow(2.0f, gamma);
tomwalters@32: } else {
tomwalters@32: h = static_cast(i) * ssi_width_cycles_
tomwalters@32: / static_cast(ssi_width_samples_);
tomwalters@32: }
tomwalters@12:
tomwalters@15: // The index into the input array is a floating-point number, which is
tomwalters@15: // split into a whole part and a fractional part. The whole part and
tomwalters@15: // fractional part are found, and are used to linearly interpolate
tomwalters@15: // between input samples to yield an output sample.
tomwalters@15: double whole_part;
tomwalters@15: float frac_part = modf(h * cycle_samples, &whole_part);
tomwalters@32: int sample = floor(whole_part);
tomwalters@32:
tomwalters@32: float weight = 1.0f;
tomwalters@32:
tomwalters@32: int cutoff_index = buffer_length_ - 1;
tomwalters@32: if (do_pitch_cutoff_) {
tomwalters@32: if (pitch_index < cutoff_index) {
tomwalters@32: if (weight_by_cutoff_) {
tomwalters@32: weight *= static_cast(buffer_length_)
tomwalters@32: / static_cast(pitch_index);
tomwalters@32: }
tomwalters@32: cutoff_index = pitch_index;
tomwalters@32: }
tomwalters@32: }
tomwalters@32:
tomwalters@32: if (weight_by_scaling_) {
tomwalters@32: if (centre_frequency > pivot_cf_) {
tomwalters@32: weight *= (centre_frequency / pivot_cf_);
tomwalters@32: }
tomwalters@32: }
tomwalters@15:
tomwalters@15: float val;
tomwalters@32: if (sample < cutoff_index) {
tomwalters@15: float curr_sample = input.sample(ch, sample);
tomwalters@15: float next_sample = input.sample(ch, sample + 1);
tomwalters@32: val = weight * (curr_sample
tomwalters@32: + frac_part * (next_sample - curr_sample));
tomwalters@15: } else {
tomwalters@36: val = 0.0f;
tomwalters@15: }
tomwalters@15: output_.set_sample(ch, i, val);
tomwalters@15: }
tomwalters@15: }
tomwalters@12: PushOutput();
tomwalters@12: }
tomwalters@12: } // namespace aimc
tomwalters@12: