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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 451–475 of 1419 papers

TitleStatusHype
Autoregressive Diffusion Transformer for Text-to-Speech Synthesis—0
Emotion controllable speech synthesis using emotion-unlabeled dataset with the assistance of cross-domain speech emotion recognition—0
EMOVIE: A Mandarin Emotion Speech Dataset with a Simple Emotional Text-to-Speech Model—0
EmoVoice: LLM-based Emotional Text-To-Speech Model with Freestyle Text Prompting—0
Empathic Machines: Using Intermediate Features as Levers to Emulate Emotions in Text-To-Speech Systems—0
Empathic Machines: Using Intermediate Features as Levers to Emulate Emotions in Text-To-Speech Systems—0
Emphasis control for parallel neural TTS—0
Building Open-source Speech Technology for Low-resource Minority Languages with SáMi as an Example – Tools, Methods and Experiments—0
Emphasized Accent Phrase Prediction from Text for Advertisement Text-To-Speech Synthesis—0
Emphasizing Unseen Words: New Vocabulary Acquisition for End-to-End Speech Recognition—0
Building Text-to-Speech Systems for Resource Poor Languages—0
Empowering Global Voices: A Data-Efficient, Phoneme-Tone Adaptive Approach to High-Fidelity Speech Synthesis—0
EM-TTS: Efficiently Trained Low-Resource Mongolian Lightweight Text-to-Speech—0
Diacritization of Maghrebi Arabic Sub-Dialects—0
AutoMOS: Learning a non-intrusive assessor of naturalness-of-speech—0
End-to-End Feedback Loss in Speech Chain Framework via Straight-Through Estimator—0
End to end Hindi to English speech conversion using Bark, mBART and a finetuned XLSR Wav2Vec2—0
An Exhaustive Evaluation of TTS- and VC-based Data Augmentation for ASR—0
DeviceTTS: A Small-Footprint, Fast, Stable Network for On-Device Text-to-Speech—0
End-to-end speech recognition modeling from de-identified data—0
End-to-End Text-to-Speech Based on Latent Representation of Speaking Styles Using Spontaneous Dialogue—0
End-to-end Text-to-speech for Low-resource Languages by Cross-Lingual Transfer Learning—0
End-to-End Text-to-Speech using Latent Duration based on VQ-VAE—0
Enhanced Direct Speech-to-Speech Translation Using Self-supervised Pre-training and Data Augmentation—0
Development of Smartcall Vietnamese Text-to-Speech for VLSP 2020—0
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