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

Showing 121130 of 1419 papers

TitleStatusHype
ALIF: Low-Cost Adversarial Audio Attacks on Black-Box Speech Platforms using Linguistic FeaturesCode1
Laugh Now Cry Later: Controlling Time-Varying Emotional States of Flow-Matching-Based Zero-Shot Text-to-SpeechCode1
E2 TTS: Embarrassingly Easy Fully Non-Autoregressive Zero-Shot TTSCode1
TacoLM: GaTed Attention Equipped Codec Language Model are Efficient Zero-Shot Text to Speech SynthesizersCode1
AudioMarkBench: Benchmarking Robustness of Audio WatermarkingCode1
XTTS: a Massively Multilingual Zero-Shot Text-to-Speech ModelCode1
UMETTS: A Unified Framework for Emotional Text-to-Speech Synthesis with Multimodal PromptsCode1
USAT: A Universal Speaker-Adaptive Text-to-Speech ApproachCode1
HyperTTS: Parameter Efficient Adaptation in Text to Speech using HypernetworksCode1
KazEmoTTS: A Dataset for Kazakh Emotional Text-to-Speech SynthesisCode1
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