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 931–940 of 1419 papers

TitleStatusHype
Towards Transfer Learning for End-to-End Speech Synthesis from Deep Pre-Trained Language Models—0
Towards zero-shot Text-based voice editing using acoustic context conditioning, utterance embeddings, and reference encoders—0
Towards Zero-Shot Text-To-Speech for Arabic Dialects—0
Training Multi-Speaker Neural Text-to-Speech Systems using Speaker-Imbalanced Speech Corpora—0
Training Universal Vocoders with Feature Smoothing-Based Augmentation Methods for High-Quality TTS Systems—0
Training Wake Word Detection with Synthesized Speech Data on Confusion Words—0
Transcript-Prompted Whisper with Dictionary-Enhanced Decoding for Japanese Speech Annotation—0
Transduce and Speak: Neural Transducer for Text-to-Speech with Semantic Token Prediction—0
Transfer Learning Framework for Low-Resource Text-to-Speech using a Large-Scale Unlabeled Speech Corpus—0
Transfer the linguistic representations from TTS to accent conversion with non-parallel data—0
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