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 41–50 of 1419 papers

TitleStatusHype
Prompt-Unseen-Emotion: Zero-shot Expressive Speech Synthesis with Prompt-LLM Contextual Knowledge for Mixed Emotions—0
Zero-Shot Text-to-Speech for Vietnamese—0
SALF-MOS: Speaker Agnostic Latent Features Downsampled for MOS Prediction—0
WCTC-Biasing: Retraining-free Contextual Biasing ASR with Wildcard CTC-based Keyword Spotting and Inter-layer Biasing—0
Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models—0
Chain-of-Thought Training for Open E2E Spoken Dialogue Systems—0
Werewolf: A Straightforward Game Framework with TTS for Improved User Engagement—0
Speech Token Prediction via Compressed-to-fine Language Modeling for Speech Generation—0
Can Emotion Fool Anti-spoofing?—0
LLM-Synth4KWS: Scalable Automatic Generation and Synthesis of Confusable Data for Custom Keyword Spotting—0
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