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 1371–1380 of 1419 papers

TitleStatusHype
Effect of choice of probability distribution, randomness, and search methods for alignment modeling in sequence-to-sequence text-to-speech synthesis using hard alignment—0
Efficient data selection employing Semantic Similarity-based Graph Structures for model training—0
Efficient Generative Modeling with Residual Vector Quantization-Based Tokens—0
Efficient Incremental Text-to-Speech on GPUs—0
Efficiently Trained Low-Resource Mongolian Text-to-Speech System Based On FullConv-TTS—0
Efficient training strategies for natural sounding speech synthesis and speaker adaptation based on FastPitch—0
ELAICHI: Enhancing Low-resource TTS by Addressing Infrequent and Low-frequency Character Bigrams—0
ELLA-V: Stable Neural Codec Language Modeling with Alignment-guided Sequence Reordering—0
EmoCat: Language-agnostic Emotional Voice Conversion—0
EmoDiff: Intensity Controllable Emotional Text-to-Speech with Soft-Label Guidance—0
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