# SonicForge Studio VST / VSTi Engine Service (22_CLIENT_DESK.md §3) import numpy as np def midi_note_to_freq(note_number: int) -> float: """Quy đổi số nốt MIDI (0 - 127) sang tần số Hertz (Hz).""" return 440.0 * (2.0 ** ((note_number - 69) / 12.0)) def render_midi_events_to_audio(midi_events: list, sr: int = 44100, bpm: float = 120.0, instrument: str = 'synth') -> np.ndarray: """ Tổng hợp mảng âm thanh NumPy Stereo từ sự kiện MIDI Piano Roll (22_CLIENT_DESK.md §3.1 & §3.2). Args: midi_events: Danh sách nốt MIDI [{"note": 60, "start_beat": 0, "duration_beats": 1, "velocity": 100}, ...] sr: Tần số lấy mẫu (Sample Rate) bpm: Nhịp BPM của dự án instrument: Loại nhạc cụ tổng hợp Returns: np.ndarray: Mảng 2D Stereo Float32 [2, num_samples] """ beat_duration_sec = 60.0 / max(30.0, bpm) max_duration_sec = 2.0 for event in midi_events: start_beat = event.get('start_beat', 0.0) dur_beats = event.get('duration_beats', 1.0) end_sec = (start_beat + dur_beats) * beat_duration_sec if end_sec > max_duration_sec: max_duration_sec = end_sec total_samples = int((max_duration_sec + 0.5) * sr) out_l = np.zeros(total_samples, dtype=np.float32) out_r = np.zeros(total_samples, dtype=np.float32) for event in midi_events: note = event.get('note', 60) velocity = event.get('velocity', 100) / 127.0 start_beat = event.get('start_beat', 0.0) dur_beats = event.get('duration_beats', 1.0) start_sample = int(start_beat * beat_duration_sec * sr) dur_samples = int(dur_beats * beat_duration_sec * sr) end_sample = min(total_samples, start_sample + dur_samples) actual_len = end_sample - start_sample if actual_len <= 0 or start_sample >= total_samples: continue freq = midi_note_to_freq(note) t = np.arange(actual_len) / float(sr) # Synth tone + fundamental harmonics tone = 0.6 * np.sin(2 * np.pi * freq * t) + 0.3 * np.sin(2 * np.pi * freq * 2 * t) + 0.1 * np.sin(2 * np.pi * freq * 3 * t) # ADSR Envelope attack = min(int(0.01 * sr), actual_len // 4) release = min(int(0.05 * sr), actual_len // 4) sustain_len = actual_len - attack - release env = np.ones(actual_len, dtype=np.float32) if attack > 0: env[:attack] = np.linspace(0.0, 1.0, attack) if release > 0: env[-release:] = np.linspace(1.0, 0.0, release) signal = tone * env * velocity out_l[start_sample:end_sample] += signal out_r[start_sample:end_sample] += signal # Clamping normalization to prevent clipping max_peak = max(np.max(np.abs(out_l)), np.max(np.abs(out_r))) if max_peak > 1.0: out_l /= max_peak out_r /= max_peak return np.vstack([out_l, out_r])