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+vosk_models/vosk-model-en-us-0.22-lgraph/am/final.mdl filter=lfs diff=lfs merge=lfs -text
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piper_models/en-us-amy-low/MODEL_CARD

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+# Model card for Amy (low)
+
+* Language: en-us (U.S. English)
+* Speakers: 1
+* Quality: low
+* Samplerate: 16,000Hz
+
+## Dataset
+
+* URL: https://github.com/MycroftAI/mimic3-voices
+* License: See URL
+
+## Training
+
+Finetuned from U.S. English Ryan voice (low quality).

piper_models/en-us-amy-low/en-us-amy-low.onnx

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piper_models/en-us-amy-low/en-us-amy-low.onnx.json

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piper_models/ru-ruslan-medium/ru_ru_RU_ruslan_medium_MODEL_CARD

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+# Model card for ruslan (medium)
+
+* Language: ru_RU (Russian, Russia)
+* Speakers: 1
+* Quality: medium
+* Samplerate: 22,050Hz
+
+## Dataset
+
+* URL: https://ruslan-corpus.github.io/
+* License: https://creativecommons.org/licenses/by-nc-sa/4.0/
+
+## Training
+
+Finetuned from U.S. English lessac voice (medium quality).

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piper_models/voice-kk-issai-high/MODEL_CARD

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+# Model card for ISSAI (high)
+
+* Language: kk (Kazakh)
+* Speakers: 6
+* Quality: x-low
+* Samplerate: 22,050Hz
+
+## Dataset
+
+* URL: https://github.com/IS2AI/Kazakh_TTS
+* License:  CC-BY-4.0
+
+## Training
+
+Trained from scratch.

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+}

vosk_models/vosk-model-en-us-0.22-lgraph/README

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+Accurate universal English model (both for callcenter and wideband)
+
+Based on Appen Kaldi model https://github.com/Appen/UHV-OTS-Speech
+
+Dynamic graph version

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vosk_models/vosk-model-en-us-0.22-lgraph/ivector/online_cmvn.conf

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vosk_models/vosk-model-en-us-0.22-lgraph/ivector/splice.conf

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vosk_models/vosk-model-kz-0.15/README

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+Kazakh model trained from https://github.com/IS2AI/ISSAI_SAIDA_Kazakh_ASR
+
+Thanks to
+
+A Crowdsourced Open-Source Kazakh Speech Corpus and Initial Speech Recognition Baseline
+Yerbolat Khassanov, Saida Mussakhojayeva, Almas Mirzakhmetov, Alen Adiyev, Mukhamet Nurpeiissov, Huseyin Atakan Varol
+https://arxiv.org/abs/2009.10334
+
+See also
+
+A baseline model for computationally inexpensive speech recognition for Kazakh using the Coqui STT framework
+Ilnar Salimzianov
+https://arxiv.org/abs/2107.10637
+
+WER:
+
+%WER 8.06 [ 2844 / 35275, 437 ins, 358 del, 2049 sub ] exp/chain_a/tdnn/decode_dev_rescore/wer_10_0.0
+%WER 6.81 [ 2444 / 35884, 309 ins, 398 del, 1737 sub ] exp/chain_a/tdnn/decode_test_rescore/wer_10_1.0

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