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README.md

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+# KazEmoTTS: A Kazakh Emotional Text-to-Speech Dataset
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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 features recordings from three narrators (one female, two male), expressing six emotions: neutral, angry, happy, sad, scared, and surprised.  A text-to-speech model trained on this dataset is also available.  The quality of the synthesized speech was evaluated using both objective (MCD) and subjective (MOS) metrics.
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+**Dataset Structure:**
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+The dataset contains audio files paired with their corresponding text transcriptions.  The audio is categorized by emotion and speaker.
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+**Evaluation Metrics:**
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+The synthesized speech quality was assessed using Mean Opinion Score (MOS) and Mel Cepstral Distortion (MCD).  The MOS scores ranged from 3.51 to 3.57, and the MCD scores fell between 6.02 and 7.67.
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+**Languages:**
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+Kazakh
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+**License:**
+
+[Please specify the license here.  This information was not provided in the source text.]
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+
+**Citation:**
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+[Please add citation information here. This information was not provided in the source text.]
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+
+**Contact:**
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+[Please add contact information here if available. This information was not provided in the source text.]