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 81–90 of 1419 papers

TitleStatusHype
VoiceFlow: Efficient Text-to-Speech with Rectified Flow MatchingCode2
SpeechTokenizer: Unified Speech Tokenizer for Speech Large Language ModelsCode2
SeamlessM4T: Massively Multilingual & Multimodal Machine TranslationCode2
VITS2: Improving Quality and Efficiency of Single-Stage Text-to-Speech with Adversarial Learning and Architecture DesignCode2
CoMoSpeech: One-Step Speech and Singing Voice Synthesis via Consistency ModelCode2
Source-Filter-Based Generative Adversarial Neural Vocoder for High Fidelity Speech SynthesisCode2
NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing SynthesizersCode2
PITS: Variational Pitch Inference without Fundamental Frequency for End-to-End Pitch-controllable TTSCode2
A Vector Quantized Approach for Text to Speech Synthesis on Real-World Spontaneous SpeechCode2
Towards Building Text-To-Speech Systems for the Next Billion UsersCode2
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