Third-party material
The voice
lt_LT-ingute-medium.onnx is the Ingutė voice from the Piper voice catalogue
(https://huggingface.co/rhasspy/piper-voices, lt/lt_LT/ingute/medium) with sherpa-onnx metadata
added (model_type, comment, language, voice, has_espeak, n_speakers, sample_rate);
the network weights are unchanged. tokens.txt is generated from the voice's
phoneme_id_map: keys longer than one code point are left out (sherpa-onnx cannot read them and
eSpeak NG never produces them), and ʂ gets the id of s.
Licence: NewGenLTU Open RAIL-D License 1.0, full text in LICENSE-VOICE (https://sitti.vdu.lt/newgenltu-openrail-d-license/). Voice repository: https://huggingface.co/RobertasTa/lt_LT-ingute-medium
eSpeak NG data (lt_dict, espeak-ng-lt/)
lt_dict is compiled with eSpeak NG's dictionary compiler from the files in
espeak-ng-lt/dictsource/:
lt_rules, the first part oflt_list,lt_emoji: eSpeak NG (https://github.com/espeak-ng/espeak-ng), GPL-3.0.lt_rulesandlt_listas in eSpeak NG master;lt_emojias in the eSpeak NG fork used by sherpa-onnx (https://github.com/csukuangfj/espeak-ng), so that the unchanged files compile to the samelt_dictthat SherpaTTS 3.4 ships (md55426503daf0a29836d0f168d38b38581).- The added block at the end of
lt_list(189,209 linesword $N): the stressed syllable of each word form, taken fromlt_kirciai.tsvas shipped in OHF-Voice/piper1-gpl (src/piper/lithuanian/, GPL-3.0), which is built from two works licensed under the Creative Commons Attribution 4.0 International licence:- LIEPA corpus annotation, Vilnius University: https://huggingface.co/datasets/meldynamics/liepa-tts
- g2p-lt-lexicon, Arūnas Smaliukas: https://huggingface.co/datasets/svogunas/g2p-lt-lexicon
The resulting lt_dict is distributed under GPL-3.0 with these sources.
The ears (parakeet-lt-kmynas-int8.zip, release v1.1.0)
A Lithuanian speech recognition model for Parakeetype, licensed under the Creative Commons
Attribution 4.0 International licence (full text and an attribution notice inside the archive as
LICENSE.txt and NOTICE.txt):
- "parakeet-tdt-0.6b-v3" by NVIDIA: https://huggingface.co/nvidia/parakeet-tdt-0.6b-v3
- fine-tuned for Lithuanian on the LIEPA-3 corpus as "kmynas-parakeet-lt-v4" by Kristijonas Jakubsonas: https://huggingface.co/kristijonas/kmynas-parakeet-lt-v4
nemo128.onnx(the audio front end) from the Parakeet TDT 0.6B v3 ONNX export by istupakov: https://huggingface.co/istupakov/parakeet-tdt-0.6b-v3-onnx
Our changes: exported to ONNX (encoder, decoder, joiner), the joint network's input projections
moved into the encoder and decoder graphs with the same weights (the output is identical), tensors
renamed to the layout Parakeetype reads, encoder quantised to int8 (MatMul weights only), the
vocabulary written as vocab.txt.
silero_vad_v6.onnx in the archive is the Silero VAD v6 model by the Silero Team
(https://github.com/snakers4/silero-vad), unmodified, MIT licence (LICENSE-silero-vad.txt).
Not included
SherpaTTS (https://github.com/woheller69/ttsengine, GPL-3.0) is a separate app and is not part of this package. Install it from F-Droid.
Parakeetype (https://github.com/theScrabi/Parakeetype, GPL-3.0) is a separate app as well. Our proposed change to it (registering the Lithuanian model) lives in a public branch: https://github.com/RobertasTa/Parakeetype/tree/add-lithuanian-model