// Analyze voice across 13 harmonic dimensions
void analyze_voice_13d(audio_buffer_t* audio_buffer, 
                     voice_pattern_t* pattern) {
    // Initialize pattern analysis structure
    init_voice_pattern(pattern, DIMENSION_COUNT_13D);
    
    // Process phi-resonant dimensions (timing, cadence)
    analyze_phi_dimensions(audio_buffer, pattern);
    
    // Process pi-based dimensions (frequency patterns)
    analyze_pi_dimensions(audio_buffer, pattern);
    
    // Process root-2 dimensions (overtones)
    analyze_root2_dimensions(audio_buffer, pattern);
    
    // Process root-3 dimensions (spatial characteristics)
    analyze_root3_dimensions(audio_buffer, pattern);
    
    // Generate unified core dimension
    generate_core_dimension(pattern);
    
    // Normalize pattern across all dimensions
    normalize_voice_pattern(pattern);
}

typedef struct {
    uint32_t dimension_count;        // Number of dimensions (13)
    float** dimensional_patterns;    // Patterns in each dimension
    uint32_t frame_count;            // Number of time frames
    voice_signature_t* signature;    // Derived voice signature
} voice_pattern_t;

// Recognize voice from audio input
recognition_result_t* recognize_voice(ECHO13D* echo, 
                                    audio_buffer_t* audio) {
    // Allocate result structure
    recognition_result_t* result = (recognition_result_t*)
        malloc(sizeof(recognition_result_t));
    
    // Extract voice pattern
    voice_pattern_t* pattern = extract_voice_pattern(echo, audio);
    
    // Compare with stored patterns in NESH
    voice_match_t* matches = find_voice_matches(echo, pattern);
    
    // Process matches
    if (matches->count > 0) {
        // Sort matches by confidence
        sort_voice_matches(matches);
        
        // Get highest confidence match
        voice_identity_t* top_match = get_top_match(matches);
        
        // Set result
        result->recognized = true;
        result->identity = copy_voice_identity(top_match);
        result->confidence = matches->confidences[0];
    } else {
        // No match found
        result->recognized = false;
        result->confidence = 0.0f;
    }
    
    // Cleanup
    free_voice_pattern(pattern);
    free_voice_matches(matches);
    
    return result;
}

typedef struct {
    text_content_t* text;           // Transcribed text
    semantic_content_t* semantics;  // Semantic meaning
    emotion_analysis_t* emotion;    // Emotional content analysis
    confidence_metrics_t* metrics;  // Analysis confidence
} speech_analysis_t;

// Analyze speech content
speech_analysis_t* analyze_speech(ECHO13D* echo, 
                               voice_pattern_t* pattern) {
    // Create analysis result
    speech_analysis_t* analysis = (speech_analysis_t*)
        malloc(sizeof(speech_analysis_t));
    
    // Transcribe speech to text
    analysis->text = transcribe_to_text(echo, pattern);
    
    // Extract semantic meaning
    analysis->semantics = extract_semantics(echo, 
                                          pattern,
                                          analysis->text);
    
    // Analyze emotional content
    analysis->emotion = analyze_emotion(echo, pattern);
    
    // Calculate confidence metrics
    analysis->metrics = calculate_confidence_metrics(echo, 
                                                   pattern,
                                                   analysis->text);
    
    return analysis;
}

typedef struct {
    voice_template_t* voice;        // Voice template to use
    text_content_t* text;           // Text to synthesize
    emotion_params_t* emotion;      // Emotional parameters
    synthesis_quality_t quality;    // Synthesis quality level
} synthesis_params_t;

// Synthesize voice output
audio_buffer_t* synthesize_voice(ECHO13D* echo, 
                              synthesis_params_t* params) {
    // Create audio buffer for output
    audio_buffer_t* audio = create_audio_buffer(
        calculate_audio_length(params->text, params->voice));
    
    // Generate phoneme sequence
    phoneme_sequence_t* phonemes = generate_phonemes(
        params->text, params->voice->language);
    
    // Apply prosody model (timing, pitch, stress)
    apply_prosody_model(phonemes, params->voice, params->emotion);
    
    // Generate harmonic voice patterns
    for (uint32_t i = 0; i < phonemes->count; i++) {
        // Get phoneme parameters
        phoneme_t* p = &phonemes->phonemes[i];
        
        // Calculate start and end frame
        uint32_t start_frame = time_to_frame(p->start_time, audio->sample_rate);
        uint32_t end_frame = time_to_frame(p->end_time, audio->sample_rate);
        
        // Generate 13D harmonics for phoneme
        harmonic_set_t* harmonics = generate_phoneme_harmonics(
            echo, params->voice, p, params->emotion);
        
        // Apply harmonics to audio frames
        apply_harmonics_to_audio(audio, harmonics, 
                               start_frame, end_frame);
        
        // Free harmonics
        free_harmonic_set(harmonics);
    }
    
    // Apply final processing
    apply_final_processing(audio, params->quality);
    
    // Free phoneme sequence
    free_phoneme_sequence(phonemes);
    
    return audio;
}

// Initialize ECHO 13D with DragonHeart connection
ECHO13D* init_echo_13d(DragonHeart* heart) {
    // Allocate ECHO 13D structure
    ECHO13D* echo = (ECHO13D*)malloc(sizeof(ECHO13D));
    
    // Store DragonHeart reference
    echo->heart = heart;
    
    // Initialize processing domains for voice
    init_phi_processing_domain(echo, heart);
    init_pi_processing_domain(echo, heart);
    init_root2_processing_domain(echo, heart);
    init_root3_processing_domain(echo, heart);
    
    // Set up harmonic processing pipelines
    setup_voice_processing_pipeline(echo);
    
    // Initialize voice templates
    init_voice_templates(echo);
    
    // Connect to NESH if available
    if (heart->nesh != NULL) {
        connect_to_nesh(echo, heart->nesh);
    }
    
    return echo;
}

// Initialize ECHO 13D system
ECHO13D* echo_init(echo_config_t* config) {
    // Verify DragonHeart is available
    if (!config || !config->dragonheart) {
        return NULL;  // DragonHeart is required
    }
    
    // Initialize ECHO 13D with DragonHeart
    ECHO13D* echo = init_echo_13d(config->dragonheart);
    
    // Configure voice processing
    if (config->voice_config) {
        configure_voice_processing(echo, config->voice_config);
    } else {
        // Use default configuration
        use_default_voice_config(echo);
    }
    
    // Connect to NESH if specified
    if (config->nesh) {
        connect_to_nesh(echo, config->nesh);
    }
    
    return echo;
}

// Process audio through ECHO 13D
echo_result_t* echo_process_audio(ECHO13D* echo, 
                               audio_buffer_t* audio,
                               process_mode_t mode) {
    // Create result container
    echo_result_t* result = create_echo_result();
    
    // Extract voice pattern
    voice_pattern_t* pattern = extract_voice_pattern(echo, audio);
    
    // Process according to mode
    switch (mode) {
        case PROCESS_RECOGNITION:
            result->recognition = recognize_voice(echo, pattern);
            break;
            
        case PROCESS_TRANSCRIPTION:
            result->transcription = transcribe_speech(echo, pattern);
            break;
            
        case PROCESS_ANALYSIS:
            result->analysis = analyze_speech(echo, pattern);
            break;
            
        case PROCESS_FULL:
            // Perform all processing types
            result->recognition = recognize_voice(echo, pattern);
            result->transcription = transcribe_speech(echo, pattern);
            result->analysis = analyze_speech(echo, pattern);
            break;
    }
    
    // Apply pattern to voice context if needed
    if (mode != PROCESS_RECOGNITION) {
        update_voice_context(echo, pattern);
    }
    
    // Free pattern
    free_voice_pattern(pattern);
    
    return result;
}

// Synthesize speech with ECHO 13D
audio_buffer_t* echo_synthesize_speech(ECHO13D* echo, 
                                    text_content_t* text,
                                    voice_template_t* voice,
                                    emotion_params_t* emotion) {
    // Create synthesis parameters
    synthesis_params_t params;
    params.voice = voice;
    params.text = text;
    params.emotion = emotion;
    params.quality = SYNTHESIS_QUALITY_HIGH;
    
    // Synthesize voice
    return synthesize_voice(echo, ¶ms);
}

// Shut down ECHO 13D system
void echo_shutdown(ECHO13D* echo) {
    // Clean up voice templates
    free_voice_templates(echo);
    
    // Clean up processing pipelines
    cleanup_voice_processing_pipeline(echo);
    
    // Disconnect from NESH if connected
    if (echo->nesh_connected) {
        disconnect_from_nesh(echo);
    }
    
    // Free ECHO 13D structure
    free(echo);
}

// Create a new voice template
voice_template_t* create_voice_template(ECHO13D* echo, 
                                      const char* name,
                                      voice_characteristics_t* characteristics) {
    // Allocate template
    voice_template_t* template = (voice_template_t*)
        malloc(sizeof(voice_template_t));
    
    // Set basic properties
    template->name = strdup(name);
    template->characteristics = copy_voice_characteristics(characteristics);
    
    // Set default language (can be changed later)
    template->language = LANGUAGE_ENGLISH;
    
    // Create dimensional patterns
    template->dimension_count = DIMENSION_COUNT_13D;
    template->dimensional_patterns = (float**)malloc(
        DIMENSION_COUNT_13D * sizeof(float*));
    
    // Generate patterns for each dimension based on characteristics
    generate_phi_dimension_patterns(echo, template);
    generate_pi_dimension_patterns(echo, template);
    generate_root2_dimension_patterns(echo, template);
    generate_root3_dimension_patterns(echo, template);
    generate_core_dimension_pattern(echo, template);
    
    // Initialize harmonic parameters
    init_voice_harmonic_parameters(template);
    
    return template;
}

// Voice signature extraction
voice_signature_t* extract_voice_signature(ECHO13D* echo, 
                                        voice_pattern_t* pattern) {
    // Allocate signature structure
    voice_signature_t* signature = (voice_signature_t*)
        malloc(sizeof(voice_signature_t));
    
    // Calculate base signature metrics
    signature->phi_values = extract_phi_signature(pattern);
    signature->pi_values = extract_pi_signature(pattern);
    signature->root2_values = extract_root2_signature(pattern);
    signature->root3_values = extract_root3_signature(pattern);
    
    // Generate harmonic fingerprint
    signature->harmonic_fingerprint = generate_harmonic_fingerprint(
        pattern, FINGERPRINT_RESOLUTION_HIGH);
    
    // Calculate signature stability metrics
    signature->stability = calculate_signature_stability(pattern);
    
    return signature;
}

// Save voice signature to NESH
bool save_voice_to_nesh(ECHO13D* echo, 
                       voice_identity_t* identity,
                       voice_signature_t* signature) {
    // Check if NESH is connected
    if (!echo->nesh_connected) {
        return false;
    }
    
    // Create waveform field for voice
    waveform_field_t* field = create_waveform_field_for_voice(
        echo->nesh, signature);
    
    // Convert signature to echo pattern
    echo_t* voice_echo = create_voice_echo(
        echo->nesh, signature, identity);
    
    // Store in NESH
    bool success = store_voice_echo(echo->nesh, 
                                  field, 
                                  voice_echo,
                                  identity);
    
    // Cleanup
    free_waveform_field(field);
    free_echo(voice_echo);
    
    return success;
}

// Connect ECHO 13D to DragonHeart
void connect_echo_to_dragonheart(ECHO13D* echo, DragonHeart* heart) {
    // Set DragonHeart reference
    echo->heart = heart;
    
    // Register with DragonHeart's harmonic processing
    register_with_harmonic_processor(heart, DOMAIN_AUDIO, echo);
    
    // Set up phi-resonant timing for voice processing
    setup_phi_resonant_timing(heart, echo, VOICE_PROCESSING_TIMING);
    
    // Configure harmonic constants for voice
    configure_voice_harmonic_constants(heart, echo);
    
    // Set up waveform transformation pipeline
    setup_waveform_transformation_pipeline(heart, echo);
}

// Connect ECHO 13D to NESH
void connect_echo_to_nesh(ECHO13D* echo, NESH* nesh) {
    // Set NESH reference
    echo->nesh = nesh;
    echo->nesh_connected = true;
    
    // Create voice pattern field in NESH
    echo->voice_field = create_voice_pattern_field(nesh);
    
    // Set up voice pattern retrieval mechanism
    setup_voice_pattern_retrieval(echo, nesh);
    
    // Set up voice echo creation in NESH
    setup_voice_echo_creation(echo, nesh);
}

// Integrate ECHO 13D with Aurora AI
void integrate_echo_with_aurora(ECHO13D* echo, Aurora* aurora) {
    // Register as voice interface for Aurora
    register_voice_interface(aurora, echo);
    
    // Set up recognition callbacks
    setup_recognition_callbacks(echo, aurora);
    
    // Set up voice command processing
    setup_voice_command_processing(echo, aurora);
    
    // Configure voice response synthesis
    configure_voice_response_synthesis(echo, aurora);
    
    // Set up voice context sharing
    setup_voice_context_sharing(echo, aurora);
}

#include "echo13d.h"

int main() {
    // Initialize DragonHeart
    DragonHeart* heart = dragonheart_init(NULL);
    
    // Initialize NESH
    NESH* nesh = nesh_init(NULL);
    
    // Create ECHO 13D configuration
    echo_config_t config;
    config.dragonheart = heart;
    config.nesh = nesh;
    config.voice_config = NULL;  // Use defaults
    
    // Initialize ECHO 13D
    ECHO13D* echo = echo_init(&config);
    
    printf("Initialized ECHO 13D Voice Processing System\n");
    
    // Open audio input device
    audio_device_t* input_device = open_audio_input_device(DEFAULT_DEVICE);
    
    // Record audio (5 seconds)
    audio_buffer_t* audio = record_audio(input_device, 5.0);
    
    // Process audio through ECHO 13D
    echo_result_t* result = echo_process_audio(echo, audio, PROCESS_FULL);
    
    // Print transcription result
    printf("Transcription: %s\n", result->transcription->text);
    printf("Confidence: %.2f\n", result->transcription->confidence);
    
    // Print emotion analysis
    printf("Detected emotion: %s (%.2f confidence)\n", 
           get_emotion_name(result->analysis->emotion->primary_emotion),
           result->analysis->emotion->primary_confidence);
    
    // Clean up resources
    free_echo_result(result);
    free_audio_buffer(audio);
    close_audio_device(input_device);
    
    // Shutdown ECHO 13D
    echo_shutdown(echo);
    nesh_shutdown(nesh);
    dragonheart_shutdown(heart);
    
    return 0;
}

// Register a voice in the system
void register_voice(ECHO13D* echo, const char* identity_name) {
    // Create voice identity
    voice_identity_t* identity = create_voice_identity(identity_name);
    
    // Open audio device
    audio_device_t* device = open_audio_input_device(DEFAULT_DEVICE);
    
    printf("Please speak for 10 seconds to register your voice...\n");
    
    // Record voice sample
    audio_buffer_t* audio = record_audio(device, 10.0);
    
    printf("Processing voice sample...\n");
    
    // Extract voice pattern
    voice_pattern_t* pattern = extract_voice_pattern(echo, audio);
    
    // Extract voice signature
    voice_signature_t* signature = extract_voice_signature(echo, pattern);
    
    // Save to NESH
    if (save_voice_to_nesh(echo, identity, signature)) {
        printf("Voice profile for %s registered successfully!\n", identity_name);
    } else {
        printf("Failed to register voice profile\n");
    }
    
    // Clean up
    free_voice_identity(identity);
    free_voice_pattern(pattern);
    free_voice_signature(signature);
    free_audio_buffer(audio);
    close_audio_device(device);
}

// Synthesize speech with emotion
void synthesize_emotional_speech(ECHO13D* echo, 
                              const char* text,
                              const char* voice_name,
                              emotion_type_t emotion) {
    // Find voice template
    voice_template_t* voice = find_voice_template(echo, voice_name);
    if (!voice) {
        printf("Voice template '%s' not found\n", voice_name);
        return;
    }
    
    // Create text content
    text_content_t* content = create_text_content(text);
    
    // Create emotion parameters
    emotion_params_t* emotion_params = create_emotion_params(emotion);
    
    // Adjust emotion intensity
    emotion_params->intensity = 0.8f;  // 80% intensity
    
    printf("Synthesizing speech: \"%s\" with %s voice and %s emotion\n",
           text, voice_name, get_emotion_name(emotion));
    
    // Synthesize speech
    audio_buffer_t* audio = echo_synthesize_speech(
        echo, content, voice, emotion_params);
    
    // Open audio output device
    audio_device_t* output_device = open_audio_output_device(DEFAULT_DEVICE);
    
    // Play synthesized speech
    play_audio(output_device, audio);
    
    // Wait for playback to complete
    wait_for_playback_completion(output_device);
    
    // Clean up
    free_text_content(content);
    free_emotion_params(emotion_params);
    free_audio_buffer(audio);
    close_audio_device(output_device);
}