#!/usr/bin/env python3 """ Quranic Recitation Audio Standardizer ====================================== Converts 14 reciters' verse-level MP3 audio into Opus format and generates word-by-word (WBW) timing JSON metadata from individual word MP3 segments. Source structure: audio/ayahs/{reciter_slug}/{surahId}{verseId}.mp3 (verse audio) audio/words/{surahId}_{verseId}_{wordPos}.mp3 (word-level audio) Target structure (matches reference: abdul-basit-abdul-samad-mujawwad-hafs-949/): {reciter_slug}/{surahId_3digit}/{surahId_3digit}{verseId_3digit}.opus {reciter_slug}/{surahId_3digit}/{surahId_3digit}{verseId_3digit}.json JSON format: [[word_idx, word_id, start_ms, end_ms], ...] """ import json import os import struct import subprocess import sys import glob import time from pathlib import Path from collections import defaultdict from concurrent.futures import ProcessPoolExecutor, as_completed # ─── Configuration ───────────────────────────────────────────────────────── BASE_DIR = Path(__file__).resolve().parent AUDIO_DIR = BASE_DIR / "audio" AYAHS_DIR = AUDIO_DIR / "ayahs" WORDS_DIR = AUDIO_DIR / "words" DATA_DIR = AUDIO_DIR / "data" # Opus encoding settings (matching reference: mono, 16kHz input sample rate) OPUS_BITRATE = "32k" OPUS_SAMPLE_RATE = "16000" # Parallelism for ffmpeg conversions MAX_WORKERS = min(os.cpu_count() or 4, 8) # ─── MP3 Duration Calculator (no ffprobe needed) ────────────────────────── # MP3 bitrate lookup tables BITRATE_TABLE_V1_L3 = [0, 32, 40, 48, 56, 64, 80, 96, 112, 128, 160, 192, 224, 256, 320, 0] SAMPLE_RATE_TABLE_V1 = [44100, 48000, 32000, 0] def get_mp3_duration_ms_fast(filepath: Path) -> int: """ Estimate MP3 duration from file size and bitrate header. Much faster than calling ffprobe for each file. Falls back to file-size-based estimation for CBR files. """ try: file_size = filepath.stat().st_size with open(filepath, 'rb') as f: # Skip ID3v2 tag if present header = f.read(10) offset = 0 if header[:3] == b'ID3': tag_size = (header[6] << 21) | (header[7] << 14) | (header[8] << 7) | header[9] offset = tag_size + 10 f.seek(offset) else: f.seek(0) # Find sync word (0xFFE0 or higher) data = f.read(4) attempts = 0 while len(data) == 4 and attempts < 2048: if data[0] == 0xFF and (data[1] & 0xE0) == 0xE0: break f.seek(f.tell() - 3) data = f.read(4) attempts += 1 if len(data) < 4 or data[0] != 0xFF or (data[1] & 0xE0) != 0xE0: # Fallback: assume 64kbps CBR return int((file_size * 8) / 64) # Parse MPEG frame header version = (data[1] >> 3) & 0x03 # 00=2.5, 01=reserved, 10=2, 11=1 layer = (data[1] >> 1) & 0x03 # 01=III, 10=II, 11=I bitrate_idx = (data[2] >> 4) & 0x0F srate_idx = (data[2] >> 2) & 0x03 if version == 0x03 and layer == 0x01: # MPEG1 Layer III bitrate = BITRATE_TABLE_V1_L3[bitrate_idx] srate = SAMPLE_RATE_TABLE_V1[srate_idx] else: # Fallback for other MPEG versions bitrate = 64 srate = 44100 if bitrate == 0: bitrate = 64 # fallback # audio_size = file_size - offset (roughly) audio_size = file_size - offset duration_ms = int((audio_size * 8) / bitrate) return duration_ms except Exception: return 0 # ─── Pre-compute all word durations ──────────────────────────────────────── def build_word_duration_cache() -> dict: """ Scan all word MP3 files once and build a lookup: (surah_id, verse_id) -> [(word_pos, duration_ms), ...] Sorted by word_pos. """ print(" Building word duration cache from MP3 headers...") start = time.time() cache = defaultdict(list) word_files = sorted(WORDS_DIR.glob("*.mp3")) total = len(word_files) for i, wf in enumerate(word_files): # Parse filename: {surah}_{verse}_{word}.mp3 parts = wf.stem.split("_") if len(parts) != 3: continue surah_id = int(parts[0]) verse_id = int(parts[1]) word_pos = int(parts[2]) duration_ms = get_mp3_duration_ms_fast(wf) cache[(surah_id, verse_id)].append((word_pos, duration_ms)) if (i + 1) % 20000 == 0: print(f" Scanned {i+1}/{total} word files...") # Sort each verse's words by position for key in cache: cache[key].sort(key=lambda x: x[0]) elapsed = time.time() - start print(f" ✓ Cached {total} word durations for {len(cache)} verses in {elapsed:.1f}s") return dict(cache) # ─── Load metadata ───────────────────────────────────────────────────────── def load_number_of_ayahs(): """Load the number of ayahs per surah from metadata.""" with open(DATA_DIR / "number_of_ayahs.json", "r") as f: data = json.load(f) return {int(k): int(v) for k, v in data.items()} # ─── Conversion functions ────────────────────────────────────────────────── def convert_mp3_to_opus(input_mp3: Path, output_opus: Path) -> bool: """Convert an MP3 file to Opus format matching reference specs.""" try: result = subprocess.run( [ "ffmpeg", "-y", "-hide_banner", "-loglevel", "error", "-i", str(input_mp3), "-c:a", "libopus", "-b:a", OPUS_BITRATE, "-ac", "1", "-ar", OPUS_SAMPLE_RATE, "-vbr", "on", "-application", "audio", str(output_opus) ], capture_output=True, text=True, timeout=60 ) return output_opus.exists() except (subprocess.TimeoutExpired, FileNotFoundError) as e: return False def generate_wbw_json_from_cache(surah_id: int, verse_id: int, word_cache: dict) -> list: """Generate WBW timing data from pre-computed word durations.""" words = word_cache.get((surah_id, verse_id), []) if not words: return [] wbw_data = [] cumulative_ms = 0 for idx, (word_pos, duration_ms) in enumerate(words): start_ms = cumulative_ms end_ms = cumulative_ms + duration_ms wbw_data.append([idx, idx + 1, start_ms, end_ms]) cumulative_ms = end_ms return wbw_data def convert_single_verse(args): """Worker function for parallel opus conversion.""" input_mp3, output_opus = args if output_opus.exists(): return True output_opus.parent.mkdir(parents=True, exist_ok=True) return convert_mp3_to_opus(input_mp3, output_opus) def process_reciter(reciter_slug: str, ayahs_per_surah: dict, word_cache: dict) -> dict: """Process all surahs for a given reciter.""" output_base = BASE_DIR / reciter_slug total_verses = sum(ayahs_per_surah.values()) print(f"\n{'='*60}") print(f"Processing: {reciter_slug}") print(f" Output: {output_base}") print(f" Total verses: {total_verses}") print(f"{'='*60}") start_time = time.time() # Compute global offsets per surah based on ayahs_per_surah # global_offset[1] = 0 (Surah 1 starts at 1) # global_offset[2] = 7 (Surah 2 starts at 8) global_offsets = {} current_offset = 0 for s_id in range(1, 115): global_offsets[s_id] = current_offset current_offset += ayahs_per_surah.get(s_id, 0) # ── Phase 1: Generate all JSON files (fast, single-threaded) ── print(f" Phase 1/2: Generating WBW JSON metadata...") json_ok = 0 json_errors = [] for surah_id in range(1, 115): num_verses = ayahs_per_surah.get(surah_id, 0) if num_verses == 0: continue surah_str = f"{surah_id:03d}" surah_dir = output_base / surah_str surah_dir.mkdir(parents=True, exist_ok=True) offset = global_offsets[surah_id] for verse_id in range(1, num_verses + 1): global_verse_id = offset + verse_id # Source uses surahId+verseId: 001001 source_base = f"{surah_str}{verse_id:03d}" # Output uses surahId+globalVerseId: 001001, 002008, etc. output_base_name = f"{surah_str}{global_verse_id:03d}" output_json = surah_dir / f"{output_base_name}.json" if output_json.exists(): json_ok += 1 continue wbw_data = generate_wbw_json_from_cache(surah_id, verse_id, word_cache) with open(output_json, "w") as f: json.dump(wbw_data, f, separators=(",", ":")) json_ok += 1 if not wbw_data: json_errors.append(f"{surah_id}:{verse_id}") json_elapsed = time.time() - start_time print(f" ✓ JSON: {json_ok}/{total_verses} in {json_elapsed:.1f}s" f" ({len(json_errors)} empty)") # ── Phase 2: Convert all MP3 → Opus (parallel) ── print(f" Phase 2/2: Converting MP3 → Opus ({MAX_WORKERS} workers)...") conversion_tasks = [] for surah_id in range(1, 115): num_verses = ayahs_per_surah.get(surah_id, 0) if num_verses == 0: continue surah_str = f"{surah_id:03d}" offset = global_offsets[surah_id] for verse_id in range(1, num_verses + 1): global_verse_id = offset + verse_id source_base = f"{surah_str}{verse_id:03d}" output_base_name = f"{surah_str}{global_verse_id:03d}" input_mp3 = AYAHS_DIR / reciter_slug / f"{source_base}.mp3" output_opus = output_base / surah_str / f"{output_base_name}.opus" if not input_mp3.exists(): continue if not output_opus.exists(): conversion_tasks.append((input_mp3, output_opus)) already_done = total_verses - len(conversion_tasks) opus_ok = already_done opus_errors = 0 if conversion_tasks: print(f" {already_done} already converted, {len(conversion_tasks)} remaining...") with ProcessPoolExecutor(max_workers=MAX_WORKERS) as executor: futures = {executor.submit(convert_single_verse, task): task for task in conversion_tasks} done_count = 0 for future in as_completed(futures): done_count += 1 if future.result(): opus_ok += 1 else: opus_errors += 1 if done_count % 500 == 0 or done_count == len(conversion_tasks): elapsed = time.time() - start_time rate = done_count / (time.time() - start_time - json_elapsed) if (time.time() - start_time - json_elapsed) > 0 else 0 print(f" Converted {done_count}/{len(conversion_tasks)} " f"({opus_ok} ok, {opus_errors} err) " f"[{rate:.0f} files/s, {elapsed:.0f}s elapsed]") else: print(f" All {total_verses} already converted!") total_elapsed = time.time() - start_time print(f"\n ── Summary for {reciter_slug} ──") print(f" Opus: {opus_ok}/{total_verses} | JSON: {json_ok}/{total_verses}") print(f" Time: {total_elapsed:.1f}s") return { "reciter": reciter_slug, "total_verses": total_verses, "opus_ok": opus_ok, "json_ok": json_ok, "opus_errors": opus_errors, "json_empty": len(json_errors), "time_s": total_elapsed } def main(): print("╔══════════════════════════════════════════════════════╗") print("║ Quranic Recitation Audio Standardizer ║") print("║ MP3 → Opus + WBW JSON ║") print("╚══════════════════════════════════════════════════════╝") # Verify directories if not AYAHS_DIR.exists(): print(f"✗ Ayahs directory not found: {AYAHS_DIR}") sys.exit(1) if not WORDS_DIR.exists(): print(f"✗ Words directory not found: {WORDS_DIR}") sys.exit(1) # Verify ffmpeg try: subprocess.run(["ffmpeg", "-version"], capture_output=True, timeout=5) except FileNotFoundError: print("✗ ffmpeg not found. Please install ffmpeg.") sys.exit(1) # Load surah metadata ayahs_per_surah = load_number_of_ayahs() total_quran_verses = sum(ayahs_per_surah.values()) print(f"\n✓ Loaded surah metadata: {len(ayahs_per_surah)} surahs, {total_quran_verses} total verses") # Discover reciters reciters = sorted([d.name for d in AYAHS_DIR.iterdir() if d.is_dir()]) print(f"✓ Found {len(reciters)} reciters: {', '.join(reciters)}") # Allow filtering via CLI if len(sys.argv) > 1: filter_reciters = sys.argv[1:] reciters = [r for r in reciters if r in filter_reciters] print(f" Filtered to: {', '.join(reciters)}") if not reciters: print("✗ No reciters to process.") sys.exit(1) # Pre-compute word durations (single pass, shared across all reciters) word_cache = build_word_duration_cache() # Process each reciter overall_start = time.time() all_results = [] for reciter_slug in reciters: result = process_reciter(reciter_slug, ayahs_per_surah, word_cache) all_results.append(result) # Final summary overall_elapsed = time.time() - overall_start print(f"\n{'='*60}") print(f" FINAL SUMMARY") print(f"{'='*60}") print(f"{'Reciter':<40} {'Opus':>6} {'JSON':>6} {'Errs':>5} {'Time':>7}") print(f"{'-'*40} {'-'*6} {'-'*6} {'-'*5} {'-'*7}") grand_opus = 0 grand_json = 0 grand_err = 0 for r in all_results: name = r["reciter"][:39] print(f"{name:<40} {r['opus_ok']:>6} {r['json_ok']:>6} " f"{r['opus_errors']:>5} {r['time_s']:>6.1f}s") grand_opus += r["opus_ok"] grand_json += r["json_ok"] grand_err += r["opus_errors"] expected = total_quran_verses * len(all_results) print(f"{'-'*40} {'-'*6} {'-'*6} {'-'*5} {'-'*7}") print(f"{'TOTAL':<40} {grand_opus:>6} {grand_json:>6} {grand_err:>5} {overall_elapsed:>6.1f}s") print(f"\nExpected: {expected} opus + {expected} json") print(f"Rate: {grand_opus/expected*100:.1f}% opus, {grand_json/expected*100:.1f}% json") print(f"\n✓ Done!") if __name__ == "__main__": main()