DeepTraCDR: Prediction Cancer Drug Response using multimodal deep learning with Transformers

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A dataset of informal Persian audio and text chunks, along with a fully open processing pipeline, suitable for ASR and TTS tasks. Created from crawled content on virgool.io.

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Code and Resources for "LLM-Powered Grapheme-to-Phoneme Conversion: Benchmark and Case Study", introducing methods to leverage LLMs for G2P tasks without additional training, featuring Sentence-Bench and Kaamel-Dict.

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A free licensed Persian TTS dataset including 6+ hours of audio-text pairs with subject

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Python package for detecting informal Persian text using regular expressions and rule-based methods

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ManaTTS is the largest open Persian speech dataset with 86+ hours of transcribed audio. Includes data collection pipeline and tools. Suitable for Persian text-to-speech models.

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