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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 791–800 of 1419 papers

TitleStatusHype
Semi-Supervised Learning Based on Reference Model for Low-resource TTS—0
Semi-supervised Learning for Multi-speaker Text-to-speech Synthesis Using Discrete Speech Representation—0
Semi-Supervised Training for Improving Data Efficiency in End-to-End Speech Synthesis—0
Semi-supervised transfer learning for language expansion of end-to-end speech recognition models to low-resource languages—0
Sentence Based Discourse Classification for Hindi Story Text-to-Speech (TTS) System—0
Shallow Flow Matching for Coarse-to-Fine Text-to-Speech Synthesis—0
Simple and Effective Multi-sentence TTS with Expressive and Coherent Prosody—0
SimpleSpeech 2: Towards Simple and Efficient Text-to-Speech with Flow-based Scalar Latent Transformer Diffusion Models—0
Simultaneous Speech-to-Speech Translation System with Neural Incremental ASR, MT, and TTS—0
SingGAN: Generative Adversarial Network For High-Fidelity Singing Voice Generation—0
Show:102550
← PrevPage 80 of 142Next →

No leaderboard results yet.