File size: 8,806 Bytes
2e1a095 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 | from __future__ import annotations
import argparse
import json
import sys
import tempfile
from pathlib import Path
from typing import Any
ROOT_DIR = Path(__file__).resolve().parent.parent
if str(ROOT_DIR) not in sys.path:
sys.path.insert(0, str(ROOT_DIR))
from app import main
from scripts.verify_voice import DEFAULT_SAMPLE_TEXT, synthesize_voice
DEFAULT_VOICES = ["silma-local", "habibi-msa", "supertonic-ar", "espeak-ar-clear"]
RECOMMENDED_VOICE_ORDER = ["silma-local", "habibi-msa", "supertonic-ar", "espeak-ar-clear", "espeak-ar", "espeak-ar-male"]
def available_voice_ids() -> list[str]:
return list(main.LOCAL_VOICES)
def benchmark_voice(
voice_id: str,
text: str,
output_dir: Path,
audio_format: str = "wav",
) -> dict[str, Any]:
output_dir.mkdir(parents=True, exist_ok=True)
destination = output_dir / f"{voice_id}.{audio_format}"
try:
result = synthesize_voice(text, voice_id, destination, audio_format)
return {"ok": True, **result}
except Exception as exc:
return {
"ok": False,
"voiceId": voice_id,
"label": main.get_local_voice(voice_id).get("label", voice_id),
"engine": main.get_local_voice(voice_id).get("engine", ""),
"error": str(exc),
}
def benchmark_voices(
voices: list[str] | None = None,
text: str = DEFAULT_SAMPLE_TEXT,
output_dir: Path | None = None,
audio_format: str = "wav",
) -> dict[str, Any]:
selected_voices = voices or DEFAULT_VOICES
output = output_dir or (ROOT_DIR / "outputs" / "voice-benchmark")
results = [benchmark_voice(voice_id, text, output, audio_format) for voice_id in selected_voices]
successful = [item for item in results if item.get("ok")]
fastest = min(successful, key=lambda item: item.get("elapsedSeconds", float("inf"))) if successful else None
recommended = choose_recommended_voice(successful)
return {
"voices": selected_voices,
"textCharacters": len(main.prepare_text_for_speech(text)),
"outputDir": str(output),
"audioFormat": audio_format,
"results": results,
"fastest": fastest,
"recommended": recommended,
"ready": bool(successful),
"nextSteps": build_next_steps(results),
}
def choose_recommended_voice(successful: list[dict[str, Any]]) -> dict[str, Any] | None:
if not successful:
return None
by_voice_id = {str(item.get("voiceId")): item for item in successful}
for voice_id in RECOMMENDED_VOICE_ORDER:
if voice_id in by_voice_id:
return by_voice_id[voice_id]
return min(successful, key=lambda item: item.get("elapsedSeconds", float("inf")))
def build_next_steps(results: list[dict[str, Any]]) -> list[str]:
steps: list[str] = []
successful = [item for item in results if item.get("ok")]
failed = [item for item in results if not item.get("ok")]
if successful:
recommended = choose_recommended_voice(successful)
if recommended:
steps.append(
f"Recommended starting voice: {recommended.get('voiceId')} ({recommended.get('label')}). "
"Listen before processing a full book."
)
steps.append("Listen to the generated files and choose the most natural Arabic voice before processing a full book.")
fastest = min(successful, key=lambda item: item.get("elapsedSeconds", float("inf")))
steps.append(f"Fastest successful voice in this run: {fastest.get('voiceId')} ({fastest.get('elapsedSeconds')}s).")
else:
steps.append("No tested voice produced audio. Run scripts/preflight_check.py and install SILMA, Habibi, Supertonic, or eSpeak NG.")
if any(item.get("voiceId") == "habibi-msa" and not item.get("ok") for item in failed):
steps.append("Habibi MSA is optional. Install it with scripts/setup_habibi.ps1 if you want to compare the newer MSA voice.")
if any(item.get("voiceId") == "silma-local" and not item.get("ok") for item in failed):
steps.append("SILMA is the preferred default voice. Install it with scripts/setup_silma.ps1 for the best current local baseline.")
if any(item.get("voiceId") == "supertonic-ar" and not item.get("ok") for item in failed):
steps.append("Supertonic 3 is optional. Install it with scripts/setup_supertonic.ps1 when you want a fast CPU Arabic-capable comparison voice.")
return steps
def write_markdown_report(path: Path, result: dict[str, Any]) -> None:
path.parent.mkdir(parents=True, exist_ok=True)
rating_command = build_rating_command(result)
lines = [
"# Arabic Voice Benchmark",
"",
f"Output directory: `{result.get('outputDir', '')}`",
f"Text characters: {result.get('textCharacters', 0)}",
f"Audio format: {result.get('audioFormat', 'wav')}",
]
recommended = result.get("recommended")
fastest = result.get("fastest")
if recommended:
lines.append(f"Recommended starting voice: `{recommended.get('voiceId')}` ({recommended.get('label', '-')})")
if fastest:
lines.append(f"Fastest successful voice: `{fastest.get('voiceId')}` ({fastest.get('elapsedSeconds')}s)")
lines.extend(
[
"",
"## Results",
"",
"| Voice | Label | Engine | Status | Time | Audio | Notes |",
"| --- | --- | --- | --- | ---: | --- | --- |",
]
)
for item in result.get("results", []):
status = "ok" if item.get("ok") else "failed"
elapsed = item.get("elapsedSeconds", "-")
audio = item.get("path", "-")
notes = item.get("error", "")
lines.append(
f"| {item.get('voiceId', '-')} | {item.get('label', '-')} | {item.get('engine', '-')} | "
f"{status} | {elapsed} | {audio} | {notes} |"
)
lines.extend(["", "## Next Steps", ""])
for step in result.get("nextSteps", []):
lines.append(f"- {step}")
lines.extend(
[
"",
"## Listening Score",
"",
"After listening, score each successful voice from 1 to 5 for pronunciation, naturalness, pacing, long-listen comfort, and artifact-free audio.",
"",
"```powershell",
rating_command,
"```",
]
)
path.write_text("\n".join(lines) + "\n", encoding="utf-8")
def build_rating_command(result: dict[str, Any]) -> str:
ratings = []
for item in result.get("results", []):
if item.get("ok"):
ratings.append(f"--rating {item.get('voiceId')}=5,5,5,5,5")
if not ratings:
ratings.append("--rating silma-local=5,5,5,5,5")
return (
"python scripts\\score_voice_listening.py "
+ " ".join(ratings)
+ " --write-report outputs\\voice-listening-score.md"
)
def print_table(result: dict[str, Any]) -> None:
print("voice ok sec engine file")
print("---------------- ---- ----- ---------- ----")
for item in result["results"]:
print(
f"{item.get('voiceId', '-'):<16} "
f"{str(item.get('ok')):<4} "
f"{item.get('elapsedSeconds', '-'):>5} "
f"{item.get('engine', '-'):<10} "
f"{item.get('path', item.get('error', '-'))}"
)
print()
for step in result["nextSteps"]:
print(f"- {step}")
def main_cli() -> None:
if hasattr(sys.stdout, "reconfigure"):
sys.stdout.reconfigure(encoding="utf-8", errors="replace")
parser = argparse.ArgumentParser(description="Compare free local Arabic TTS voices on the same text.")
parser.add_argument("--voices", nargs="+", default=DEFAULT_VOICES, choices=available_voice_ids())
parser.add_argument("--text", default=DEFAULT_SAMPLE_TEXT, help="Arabic text to synthesize for every voice.")
parser.add_argument("--text-file", type=Path, help="Read benchmark text from a UTF-8 file.")
parser.add_argument("--out-dir", type=Path, default=ROOT_DIR / "outputs" / "voice-benchmark")
parser.add_argument("--format", choices=["wav", "mp3"], default="wav")
parser.add_argument("--write-report", type=Path, help="Write a Markdown benchmark report.")
parser.add_argument("--json", action="store_true", help="Print JSON instead of a compact table.")
args = parser.parse_args()
text = args.text_file.read_text(encoding="utf-8") if args.text_file else args.text
result = benchmark_voices(args.voices, text, args.out_dir, args.format)
if args.write_report:
write_markdown_report(args.write_report, result)
if args.json:
print(json.dumps(result, ensure_ascii=False, indent=2))
else:
print_table(result)
if __name__ == "__main__":
main_cli()
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