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 301–310 of 1419 papers

TitleStatusHype
Adversarial training of Keyword Spotting to Minimize TTS Data Overfitting—0
kNN Retrieval for Simple and Effective Zero-Shot Multi-speaker Text-to-Speech—0
Generating Data with Text-to-Speech and Large-Language Models for Conversational Speech RecognitionCode0
PeriodWave: Multi-Period Flow Matching for High-Fidelity Waveform GenerationCode3
Style-Talker: Finetuning Audio Language Model and Style-Based Text-to-Speech Model for Fast Spoken Dialogue Generation—0
SaSLaW: Dialogue Speech Corpus with Audio-visual Egocentric Information Toward Environment-adaptive Dialogue Speech SynthesisCode0
PRESENT: Zero-Shot Text-to-Prosody ControlCode1
FLEURS-R: A Restored Multilingual Speech Corpus for Generation Tasks—0
VQ-CTAP: Cross-Modal Fine-Grained Sequence Representation Learning for Speech Processing—0
ALIF: Low-Cost Adversarial Audio Attacks on Black-Box Speech Platforms using Linguistic FeaturesCode1
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