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README.md
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**Dataset Summary:**
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The KazEmoTTS dataset is a collection of 54,760 audio-text pairs
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**Dataset
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**Evaluation Metrics:**
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**License:**
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**Citation:**
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**Contact:**
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**Dataset Summary:**
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The KazEmoTTS dataset is a collection of 54,760 audio-text pairs totaling 74.85 hours of emotional speech in the Kazakh language. The dataset includes recordings from three narrators (one female, two male) expressing six emotions: neutral, angry, happy, sad, scared, and surprised. A text-to-speech (TTS) model trained on this dataset is also available. The dataset aims to facilitate research and development in emotional TTS for the Kazakh language.
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**Dataset Characteristics:**
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* **Size:** 54,760 audio-text pairs
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* **Duration:** 74.85 hours (34.23 hours female, 40.62 hours male)
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* **Languages:** Kazakh
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* **Emotions:** Neutral, Angry, Happy, Sad, Scared, Surprised
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* **Number of Speakers:** 3 (1 female, 2 male)
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**Data Fields:**
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The dataset contains audio files and corresponding text transcripts. Specific field names and formats are available in the linked repository.
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**Evaluation Metrics:**
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The quality of the synthesized speech generated by a model trained on the KazEmoTTS dataset was evaluated using Mean Opinion Score (MOS) and Mel-Cepstral Distortion (MCD). MOS ranged from 3.51 to 3.57, and MCD ranged from 6.02 to 7.67.
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**License:**
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**Citation:**
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**Contact:**
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**How to Use:**
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Instructions on how to access and utilize the dataset are provided within the linked repository.
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**Links:**
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* **Dataset Repository:** [Insert GitHub Repository Link Here]
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* **Model Repository:** [Insert GitHub Model Repository Link Here, if different from dataset]
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