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plot_results.py
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plot_results.py
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import argparse
import os
from typing import Tuple
import matplotlib.pyplot as plt
import numpy as np
from benchmark import (
DEFAULT_RESULTS_FOLDER,
Stats,
)
from tts import Synthesizers
Color = Tuple[float, float, float]
DEFAULT_PLOTS_FOLDER = os.path.join(os.path.dirname(__file__), "results/plots")
def rgb_from_hex(x: str) -> Color:
x = x.strip("# ")
assert len(x) == 6
return int(x[:2], 16) / 255, int(x[2:4], 16) / 255, int(x[4:], 16) / 255
BLACK = rgb_from_hex("#000000")
GREY1 = rgb_from_hex("#3F3F3F")
GREY2 = rgb_from_hex("#5F5F5F")
GREY3 = rgb_from_hex("#7F7F7F")
GREY4 = rgb_from_hex("#9F9F9F")
GREY5 = rgb_from_hex("#BFBFBF")
WHITE = rgb_from_hex("#FFFFFF")
BLUE = rgb_from_hex("#377DFF")
ENGINE_PRINT_NAMES = {
Synthesizers.AMAZON_POLLY: 'Amazon Polly',
Synthesizers.AZURE_TTS: 'Azure TTS',
Synthesizers.ELEVENLABS: 'ElevenLabs',
Synthesizers.ELEVENLABS_WEBSOCKET: 'ElevenLabs\nStreaming Text',
Synthesizers.OPENAI_TTS: 'OpenAI TTS',
Synthesizers.PICOVOICE_ORCA: 'Picovoice\nOrca',
}
ENGINE_COLORS = {
Synthesizers.AMAZON_POLLY: GREY1,
Synthesizers.AZURE_TTS: GREY2,
Synthesizers.ELEVENLABS: GREY3,
Synthesizers.ELEVENLABS_WEBSOCKET: GREY3,
Synthesizers.OPENAI_TTS: GREY4,
Synthesizers.PICOVOICE_ORCA: BLUE,
}
def _plot(
results_folder: str,
output_path: str,
show: bool = False,
show_error_bars: bool = True,
only_tts: bool = False,
no_breakdown: bool = False,
) -> None:
raw_results = []
for file in os.listdir(results_folder):
if file.endswith(".json"):
json_path = os.path.join(results_folder, file)
synthesizer, mean, std = Stats.load_results(json_path, scale=1000)
raw_results.append((synthesizer, mean, std))
raw_results = [x for x in raw_results if x[0] in ENGINE_PRINT_NAMES.keys()]
results = []
for synthesizer in list(ENGINE_COLORS.keys()):
for raw_result in raw_results:
if raw_result[0] is synthesizer:
results.append(raw_result)
break
num_results = len(results)
max_delay = 0
for synthesizer, mean, std in results:
print(
f"TTS: {synthesizer.value}")
print(
"Voice Assistant Response Time: "
f"{mean.voice_assistant_response_time:.0f} +- {std.voice_assistant_response_time:.0f} ms")
print(
f"Time to First Token: {mean.time_to_first_token:.0f} +- {std.time_to_first_token:.0f} ms")
print(
f"First Token to Speech: {mean.first_token_to_speech:.0f} +- "
f"{std.first_token_to_speech:.0f} ms\n")
max_delay = \
max(max_delay, mean.voice_assistant_response_time) if not only_tts \
else max(max_delay, mean.first_token_to_speech)
fig, ax = plt.subplots(figsize=(12, 6))
def round_result(value: float) -> float:
return round(value, -1)
if not only_tts:
rounded_results = []
colors = []
bottoms = []
for synthesizer, mean, std in results:
rounded_result = round_result(mean.time_to_first_token)
rounded_results.append(rounded_result)
colors.append(ENGINE_COLORS[synthesizer])
bottoms.append(rounded_result)
ax.bar(
range(num_results),
rounded_results,
0.5,
color=colors,
label="Time to First Token (using OpenAI's gpt-3.5-turbo)")
else:
bottoms = [0 for _ in range(num_results)]
rounded_results = []
colors = []
for i, (synthesizer, mean, std) in enumerate(results):
rounded_results.append(round_result(mean.first_token_to_speech))
colors.append(ENGINE_COLORS[synthesizer])
ax.bar(
range(num_results),
rounded_results,
0.5,
color=colors,
bottom=bottoms,
alpha=0.65 if not only_tts and not no_breakdown else 1.0,
label="First Token to Speech" if not only_tts else None)
total_delays = []
total_delays_std = []
for i, (synthesizer, mean, std) in enumerate(results):
mean_total_delay = mean.voice_assistant_response_time if not only_tts else mean.first_token_to_speech
rounded_result = round_result(mean_total_delay)
total_delays.append(rounded_result)
std_total_delay = std.voice_assistant_response_time if not only_tts else std.first_token_to_speech
total_delays_std.append(round_result(std_total_delay))
ax.text(
i,
rounded_result + 80,
f'{rounded_result:.0f} ms',
ha="center",
color=BLACK,
fontsize=12)
if show_error_bars:
plt.errorbar(
range(num_results),
total_delays,
total_delays_std,
fmt='.',
color='Black',
alpha=0.5,
clip_on=True,
label="Variability",
)
for spine in plt.gca().spines.values():
if spine.spine_type != 'bottom' and spine.spine_type != 'left':
spine.set_visible(False)
y_max = max_delay + (max_delay / 3) if show_error_bars else max_delay + (max_delay / 6)
plt.ylim(0, y_max)
plt.xticks(np.arange(0, len(rounded_results)), [ENGINE_PRINT_NAMES[x[0]] for x in results], fontsize=12)
y_arange = np.arange(0, y_max, 500)
plt.yticks(y_arange, [f"{x:.0f}" for x in y_arange])
metric = "Voice Assistant Response Time" if not only_tts else "First Token to Speech"
plt.ylabel(f"{metric} (ms)", fontsize=14)
if (not only_tts or show_error_bars) and not no_breakdown:
ax.legend(loc="upper left", reverse=False, fontsize=14, framealpha=0)
if show_error_bars:
output_path = output_path.replace(".png", "_error_bars.png")
if no_breakdown:
output_path = output_path.replace(".png", "_no_breakdown.png")
os.makedirs(os.path.dirname(output_path), exist_ok=True)
plt.savefig(output_path)
print(f"Saved plot to `{output_path}`")
if show:
plt.show()
plt.close()
def main() -> None:
parser = argparse.ArgumentParser()
parser.add_argument(
"--results-folder",
default=DEFAULT_RESULTS_FOLDER,
help="Path to results folder")
parser.add_argument("--show-errors", action="store_true")
parser.add_argument("--show", action="store_true")
parser.add_argument("--no-breakdown", action="store_true")
args = parser.parse_args()
_plot(
results_folder=args.results_folder,
output_path=os.path.join(DEFAULT_PLOTS_FOLDER, "voice_assistant_response_time.png"),
show=args.show,
show_error_bars=args.show_errors,
only_tts=False,
no_breakdown=args.no_breakdown,
)
_plot(
results_folder=args.results_folder,
output_path=os.path.join(DEFAULT_PLOTS_FOLDER, "first_token_to_speech.png"),
show=args.show,
show_error_bars=args.show_errors,
only_tts=True,
no_breakdown=args.no_breakdown,
)
if __name__ == "__main__":
main()