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1.5.2.0

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ailia-voice

ailia AI Voice

Published16 Aug 2026
Direct dependencies1
Transitive dependenciesNot calculated

README

Version 1.5.2.0 documentation

ailia AI Voice Python API

!! CAUTION !! “ailia” IS NOT OPEN SOURCE SOFTWARE (OSS). As long as user complies with the conditions stated in License Document, user may use the Software for free of charge, but the Software is basically paid software.

About ailia AI Voice

ailia AI Voice is a library for speech synthesis using AI. It provides APIs for C# for Unity and for C for native applications. By using ailia AI Voice, it is possible to easily implement AI-based speech synthesis in applications.

ailia AI Voice can perform speech synthesis offline, only on edge devices, without the need for cloud connectivity. It also supports the latest GPT-SoVITS, enabling speech synthesis in any voice timbre.

Install from pip

You can install the ailia AI Voice free evaluation package with the following command.

pip3 install ailia_voice

Install from package

You can install the ailia AI Voice from Package with the following command.

python3 bootstrap.py
pip3 install ./

Usage

import ailia_voice

import librosa
import time
import soundfile

import os
import urllib.request

# Load reference audio
ref_text = "水をマレーシアから買わなくてはならない。"
ref_file_path = "reference_audio_girl.wav"
if not os.path.exists(ref_file_path):
	urllib.request.urlretrieve(
		"http://storage.googleapis.com/ailia-models/misc/reference_audio_girl.wav",
		"reference_audio_girl.wav"
	)
audio_waveform, sampling_rate = librosa.load(ref_file_path, mono=True)

# Infer
voice = ailia_voice.GPTSoVITS()
voice.initialize_model(model_path = "./models/")
voice.set_reference_audio(ref_text, ailia_voice.AILIA_VOICE_G2P_TYPE_GPT_SOVITS_JA, audio_waveform, sampling_rate)
buf, sampling_rate = voice.synthesize_voice("こんにちは。今日はいい天気ですね。", ailia_voice.AILIA_VOICE_G2P_TYPE_GPT_SOVITS_JA)
#buf, sampling_rate = voice.synthesize_voice("Hello world.", ailia_voice.AILIA_VOICE_G2P_TYPE_GPT_SOVITS_EN)

# Save result
soundfile.write("output.wav", buf, sampling_rate)

User dictionary

To load a user dictionary created with pyopenjtalk, give the user_dict_path to initialize_model.

voice.initialize_model(model_path = "./models/", user_dict_path = "./userdic.dic")

API specification

https://github.com/ailia-ai/ailia-sdk

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Declared dependencies 1

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1 direct targetsNot calculated transitive count
Package / targetRequirementRelationship
ailia
Environment
{
  "extras": "",
  "marker": null,
  "requires_python": ">3.6",
  "evaluation": "NOT_EVALUATED"
}
ailiaruntime

Distribution files

2 collected
ailia_voice-1.5.2.0-py3-none-any.whl

bdist_wheel · 2,998.47 KB · Python py3

Source file
ailia_voice-1.5.2.0.tar.gz

sdist · 2,991.75 KB · Python source

Source file

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package_version:86fc97638e68c0744a5602b6d7424faaa3cd0e07103227e7e79cfce8c7d6b1d6

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