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kokorog2p

Multilingual grapheme-to-phoneme and Kokoro model adaptation for prepared text.

v0.9 responsibility boundary

KokoroG2P consumes prepared, speakable text. The core owns tokenization, intrinsic phonological normalization, explicit language routing, annotations, overrides, and Kokoro phoneme/model output.

The core does not verbalize numbers, abbreviations, units, currencies, dates, times, URLs, versions, or other written semantics. Prepare those forms in the owning application or an optional cross-package tool, then call phonemize_prepared().

KokoroG2P has no runtime dependency on Spokenform and its behavior is unchanged by Spokenform being installed.

Installation

python -m pip install kokorog2p

Language and backend integrations are optional:

python -m pip install "kokorog2p[en]"
python -m pip install "kokorog2p[de]"
python -m pip install "kokorog2p[fr]"
python -m pip install "kokorog2p[ko]"
python -m pip install "kokorog2p[ja]"
python -m pip install "kokorog2p[espeak]"

See Installation for development and optional integration setup.

Quick start

from kokorog2p import phonemize_prepared

result = phonemize_prepared("Hello world!", language="en-us")
print(result.phonemes)

phonemize() remains an equivalent prepared-text entry point. The input text is retained as the coordinate space for tokens and offsets.

Semantic preparation composition

Use an external preparation package only when written semantics need expansion:

from spokenform import prepare_for_kokorog2p
from kokorog2p import phonemize_prepared

prepared = prepare_for_kokorog2p("Meet Dr. Smith at 2 kg.", language="en").spoken_text
result = phonemize_prepared(prepared, language="en-us")

Install Spokenform separately. It is not required for core installation or core tests.

Explicit language routing

from kokorog2p import OverrideSpan, phonemize_prepared

text = "Hello Welt"
start = text.index("Welt")
result = phonemize_prepared(
    text,
    language="en-us",
    overrides=[OverrideSpan(start, start + 4, {"lang": "de"})],
)

Automatic document-language detection and mixed-language segmentation are outside the core package. Applications should identify foreign spans and route them explicitly.

Annotations

Precomputed linguistic annotations can be supplied without installing a parser:

from kokorog2p import TokenAnnotation, phonemize_prepared

result = phonemize_prepared(
    "record this record",
    language="en-us",
    annotations=[TokenAnnotation(0, 6, "record", pos="NOUN", tag="NN")],
)

Annotation offsets are ordered, non-overlapping, half-open offsets into the prepared text.

Supported languages

English (en-us, en-gb), German (de), French (fr), Spanish (es), Italian (it), Portuguese (pt-br, pt-pt), Czech (cs), Chinese (zh), Japanese (ja), Korean (ko), Vietnamese (vi), Swedish (sv-se), Hebrew (he), Arabic (ar), Russian (ru), Kazakh (kk), and optional Thai (th) are supported by language-specific frontends. See Language support.

API and migration guides

Migration from 0.8.x

In 0.8.x, callers could pass written text directly to the main API:

result = phonemize("Meet Dr. Smith at 2 kg.")

In 0.9.0, prepare written semantics in the owning application and pass the result with an explicit language:

from spokenform import prepare_for_kokorog2p
from kokorog2p import phonemize_prepared

prepared = prepare_for_kokorog2p(
    "Meet Dr. Smith at 2 kg.", language="en"
).spoken_text
result = phonemize_prepared(prepared, language="en-us")

Remove input_mode, migrated_semantics, semantic expansion flags, and abbreviation-registry calls.

Development

python -m pip install -e ".[dev]"
python -m pytest -q tests/test_prepared_core.py tests/test_dependency_contract.py

The default core suite is Spokenform-free. Optional cross-package composition coverage is kept in tests/test_spokenform_composition.py and the corresponding CI job.

Release files for kokorog2p 0.9.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for kokorog2p 0.9.1
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Built distribution (wheel)

Table of built distributions (wheels) for kokorog2p 0.9.1
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kokorog2p-0.9.1-py3-none-any.whl Python 3 none any Details

Total release size: 85.4 MB

Release files / kokorog2p-0.9.1.tar.gz

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