SOTAVerified

Text to Speech

import gTTS import os def text_to_speech_kurdish(text, output_file="output.mp3"): # گۆڕینی نووسین بۆ دەنگ بە زمانی کوردی (هەڵبژاردنی زمانی "ku" بۆ کوردی) tts = gTTS(text=text, lang='ku', slow=False) tts.save(output_file) os.system(f"start {output_file}") # کردنەوەی فایلە دەنگییەکە (لە Windows) # نموونە: text_to_speech_kurdish("سڵاو، ئەمە دەنگی منە بە زمانی کوردی.")

Papers

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Showing 411–420 of 1419 papers

TitleStatusHype
Incremental Disentanglement for Environment-Aware Zero-Shot Text-to-Speech Synthesis—0
Why Do Speech Language Models Fail to Generate Semantically Coherent Outputs? A Modality Evolving Perspective—0
Interleaved Speech-Text Language Models are Simple Streaming Text to Speech Synthesizers—0
Scale This, Not That: Investigating Key Dataset Attributes for Efficient Speech Enhancement Scaling—0
Phoneme-Level Feature Discrepancies: A Key to Detecting Sophisticated Speech Deepfakes—0
Enhancing Naturalness in LLM-Generated Utterances through Disfluency Insertion—0
ProsodyFM: Unsupervised Phrasing and Intonation Control for Intelligible Speech Synthesis—0
Multi-modal and Multi-scale Spatial Environment Understanding for Immersive Visual Text-to-SpeechCode0
Efficient Generative Modeling with Residual Vector Quantization-Based Tokens—0
AMuSeD: An Attentive Deep Neural Network for Multimodal Sarcasm Detection Incorporating Bi-modal Data Augmentation—0
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