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 1011–1020 of 1419 papers

TitleStatusHype
VR-GPT: Visual Language Model for Intelligent Virtual Reality Applications—0
Vulnerability of Automatic Identity Recognition to Audio-Visual Deepfakes—0
Wasserstein GAN and Waveform Loss-based Acoustic Model Training for Multi-speaker Text-to-Speech Synthesis Systems Using a WaveNet Vocoder—0
Waveform generation for text-to-speech synthesis using pitch-synchronous multi-scale generative adversarial networks—0
WaveTTS: Tacotron-based TTS with Joint Time-Frequency Domain Loss—0
Wave-U-Net Discriminator: Fast and Lightweight Discriminator for Generative Adversarial Network-Based Speech Synthesis—0
WavThruVec: Latent speech representation as intermediate features for neural speech synthesis—0
WCTC-Biasing: Retraining-free Contextual Biasing ASR with Wildcard CTC-based Keyword Spotting and Inter-layer Biasing—0
Weakly-supervised text-to-speech alignment confidence measure—0
Werewolf: A Straightforward Game Framework with TTS for Improved User Engagement—0
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