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 5160 of 1419 papers

TitleStatusHype
CoVoMix: Advancing Zero-Shot Speech Generation for Human-like Multi-talker ConversationsCode2
DailyTalk: Spoken Dialogue Dataset for Conversational Text-to-SpeechCode2
CM-TTS: Enhancing Real Time Text-to-Speech Synthesis Efficiency through Weighted Samplers and Consistency ModelsCode2
LPCNet: Improving Neural Speech Synthesis Through Linear PredictionCode2
CoMoSpeech: One-Step Speech and Singing Voice Synthesis via Consistency ModelCode2
CATT: Character-based Arabic Tashkeel TransformerCode2
Lightweight and High-Fidelity End-to-End Text-to-Speech with Multi-Band Generation and Inverse Short-Time Fourier TransformCode2
Lina-Speech: Gated Linear Attention is a Fast and Parameter-Efficient Learner for text-to-speech synthesisCode2
DiTTo-TTS: Diffusion Transformers for Scalable Text-to-Speech without Domain-Specific FactorsCode2
Neural Speech Synthesis with Transformer NetworkCode2
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