Datasets:

Modalities:
Audio
Languages:
Kazakh
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  ## KazakhTTS: An Open-Source Kazakh Text-to-Speech Dataset
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- This Hugging Face dataset card describes the KazakhTTS project, which provides a recipe for training a Kazakh text-to-speech (TTS) model. The project utilizes the KazakhTTS and KazakhTTS2 corpora and builds upon the ESPnet framework. Pretrained models and vocoders are available.
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  **Summary:**
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  The KazakhTTS project offers a recipe for training high-quality Kazakh TTS models using the ESPnet framework. It provides access to pretrained models and vocoders, along with instructions for synthesis. The project emphasizes ethical use and requires attribution.
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- **Dataset Information:**
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-
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- The dataset itself is not directly accessible through this repository; information about the dataset is available in the original project documentation (the actual dataset download requires access through a form). The project utilizes the KazakhTTS and KazakhTTS2 corpora.
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  **Model Information:**
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  The project uses ESPnet for model training. The recipe supports training various models such as Tacotron2 and FastSpeech. Pretrained models and vocoders are offered.
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- **Pretrained Models and Vocoders:**
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  The following pretrained models and vocoders are available (links removed as requested):
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  | `parallelwavegan_male1_checkpoint` | Parallel WaveGAN checkpoint for male speaker 1 |
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  | `parallelwavegan_male2_checkpoint` | Parallel WaveGAN checkpoint for male speaker 2 |
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-
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  **Citation:**
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  ```bibtex
 
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  ## KazakhTTS: An Open-Source Kazakh Text-to-Speech Dataset
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+ This repository contains dataset for training a Kazakh text-to-speech (TTS) model. The project utilizes the KazakhTTS and KazakhTTS2 corpora and builds upon the ESPnet framework. Pretrained models and vocoders are available.
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  **Summary:**
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  The KazakhTTS project offers a recipe for training high-quality Kazakh TTS models using the ESPnet framework. It provides access to pretrained models and vocoders, along with instructions for synthesis. The project emphasizes ethical use and requires attribution.
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  **Model Information:**
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  The project uses ESPnet for model training. The recipe supports training various models such as Tacotron2 and FastSpeech. Pretrained models and vocoders are offered.
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+ <!-- **Pretrained Models and Vocoders:**
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  The following pretrained models and vocoders are available (links removed as requested):
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  | `parallelwavegan_male1_checkpoint` | Parallel WaveGAN checkpoint for male speaker 1 |
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  | `parallelwavegan_male2_checkpoint` | Parallel WaveGAN checkpoint for male speaker 2 |
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+ -->
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  **Citation:**
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  ```bibtex