piper-plus-g2p 0.2.0

Multilingual G2P (Grapheme-to-Phoneme) for TTS — eSpeak-ng free, MIT licensed

piper-plus-g2p

Multilingual G2P (Grapheme-to-Phoneme) for TTS. eSpeak-ng free. MIT licensed. 8 languages.

Standalone package — piper-plus TTS エンジンなしで G2P 単体として利用可能です。任意の TTS エンジンと組み合わせて使えます。

Why piper-plus-g2p?

• MIT licensed -- no eSpeak-ng (GPL) dependency in your TTS pipeline
• 8 languages -- JA, EN, ZH, KO, ES, FR, PT, SV with consistent IPA output
• IPA-first design -- returns pure IPA token sequences, ready for any TTS model

Comparison

	piper-plus-g2p	phonemizer	gruut	Misaki
License	MIT	GPL (eSpeak-ng)	MIT	Apache-2.0
Languages	8	100+	20+	EN only
eSpeak-ng required	No	Yes	No	No
IPA output	Yes	Yes	Yes	Yes

Installation

pip install piper-plus-g2p               # Rule-based languages (ES, FR, PT, SV)
pip install piper-plus-g2p[ja,en]        # Japanese + English
pip install piper-plus-g2p[all]          # All 8 languages

Note: The ja extra requires pyopenjtalk-plus, which provides pre-built wheels for Linux, macOS, and Windows. See pyopenjtalk-plus for platform details.

Quick Start

from piper_plus_g2p import get_phonemizer

ja = get_phonemizer("ja")
ja.phonemize("こんにちは")
# -> ["k", "o", "[", "N_n", "n", "i", "ch", "i", "w", "a"]

en = get_phonemizer("en")
en.phonemize("Hello world")
# -> ["h", "ə", "l", "ˈ", "o", "ʊ", " ", "w", "ˈ", "ɜ", "ː", "l", "d"]

Supported Languages

Language	Code	Extra	Backend	Notes
Japanese	ja	piper-plus-g2p[ja]	pyopenjtalk-plus	Context-dependent N variants, prosody info
English	en	piper-plus-g2p[en]	g2p-en	CMU-dict + neural fallback
Chinese	zh	piper-plus-g2p[zh]	pypinyin	Pinyin-to-IPA conversion
Korean	ko	piper-plus-g2p[ko]	g2pk2	Optional dependency
Spanish	es	--	Rule-based	No external dependency
French	fr	--	Rule-based	No external dependency
Portuguese	pt	--	Rule-based	No external dependency
Swedish	sv	--	Rule-based	No external dependency

Advanced Usage

Multilingual (Composite Language Code)

Pass a hyphen-joined code like "ja-en-zh" to get_phonemizer to automatically create a MultilingualPhonemizer. Language detection is Unicode-based, so mixed-script text is handled without explicit tagging.

from piper_plus_g2p import get_phonemizer

multi = get_phonemizer("ja-en-zh")
tokens = multi.phonemize("こんにちは Hello 你好")

PiperEncoder

Converts IPA token lists into integer phoneme_ids for Piper ONNX models.

from piper_plus_g2p.encode import PiperEncoder, get_phoneme_id_map

id_map = get_phoneme_id_map("ja")
encoder = PiperEncoder(id_map)
phoneme_ids = encoder.encode(["k", "o", "[", "N_n", "n", "i", "ch", "i", "w", "a"])

Piper Model Compatibility

piper-plus-g2p produces phoneme tokens directly compatible with Piper TTS ONNX models. Use PiperEncoder with the model's phoneme_id_map from config.json:

import json
from piper_plus_g2p import get_phonemizer
from piper_plus_g2p.encode import PiperEncoder

with open("model/config.json") as f:
    config = json.load(f)

encoder = PiperEncoder(config["phoneme_id_map"])
phonemizer = get_phonemizer("ja")
tokens = phonemizer.phonemize("こんにちは")
phoneme_ids = encoder.encode(tokens)
# -> ready for ONNX inference

Use strict=True to raise errors on unknown tokens instead of silently skipping them:

encoder = PiperEncoder(config["phoneme_id_map"], strict=True)

Cross-Platform Consistency

piper-plus-g2p is also available as:

• Rust crate: piper-plus-g2p on crates.io
• Go module: github.com/ayutaz/piper-plus/src/go/phonemize
• npm package: @piper-plus/g2p for browser/WASM

All three implementations share the same PUA mapping table and are validated against a common test fixture.

Requirements

• Python >= 3.11
• Language backends are installed via extras (see Supported Languages)

License

MIT