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 691–700 of 1419 papers

TitleStatusHype
Improving Speech-to-Speech Translation Through Unlabeled Text—0
Improving the expressiveness of neural vocoding with non-affine Normalizing Flows—0
Improving the quality of neural TTS using long-form content and multi-speaker multi-style modeling—0
A Transfer Learning End-to-End ArabicText-To-Speech (TTS) Deep Architecture—0
Generating Multilingual Gender-Ambiguous Text-to-Speech Voices—0
Incremental Disentanglement for Environment-Aware Zero-Shot Text-to-Speech Synthesis—0
Incremental FastPitch: Chunk-based High Quality Text to Speech—0
Incremental Machine Speech Chain Towards Enabling Listening while Speaking in Real-time—0
From Start to Finish: Latency Reduction Strategies for Incremental Speech Synthesis in Simultaneous Speech-to-Speech Translation—0
Generating diverse and natural text-to-speech samples using a quantized fine-grained VAE and auto-regressive prosody prior—0
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