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 91100 of 1419 papers

TitleStatusHype
Lightweight and High-Fidelity End-to-End Text-to-Speech with Multi-Band Generation and Inverse Short-Time Fourier TransformCode2
DailyTalk: Spoken Dialogue Dataset for Conversational Text-to-SpeechCode2
StyleTTS: A Style-Based Generative Model for Natural and Diverse Text-to-Speech SynthesisCode2
GenerSpeech: Towards Style Transfer for Generalizable Out-Of-Domain Text-to-SpeechCode2
NaturalSpeech: End-to-End Text to Speech Synthesis with Human-Level QualityCode2
FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech SynthesisCode2
Nix-TTS: Lightweight and End-to-End Text-to-Speech via Module-wise DistillationCode2
iSTFTNet: Fast and Lightweight Mel-Spectrogram Vocoder Incorporating Inverse Short-Time Fourier TransformCode2
Generative Modeling for Low Dimensional Speech Attributes with Neural Spline FlowsCode2
PortaSpeech: Portable and High-Quality Generative Text-to-SpeechCode2
Show:102550
← PrevPage 10 of 142Next →

No leaderboard results yet.