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 661–670 of 1419 papers

TitleStatusHype
Miipher: A Robust Speech Restoration Model Integrating Self-Supervised Speech and Text RepresentationsCode1
Evaluating Parameter-Efficient Transfer Learning Approaches on SURE Benchmark for Speech UnderstandingCode1
Fine-grained Emotional Control of Text-To-Speech: Learning To Rank Inter- And Intra-Class Emotion Intensities—0
LiteG2P: A fast, light and high accuracy model for grapheme-to-phoneme conversion—0
Leveraging Large Text Corpora for End-to-End Speech Summarization—0
ParrotTTS: Text-to-Speech synthesis by exploiting self-supervised representations—0
DTW-SiameseNet: Dynamic Time Warped Siamese Network for Mispronunciation Detection and Correction—0
ClArTTS: An Open-Source Classical Arabic Text-to-Speech Corpus—0
Automatic Heteronym Resolution Pipeline Using RAD-TTS Aligners—0
CrossSpeech: Speaker-independent Acoustic Representation for Cross-lingual Speech Synthesis—0
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