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

Showing 2130 of 1419 papers

TitleStatusHype
XPhoneBERT: A Pre-trained Multilingual Model for Phoneme Representations for Text-to-SpeechCode5
Speak Foreign Languages with Your Own Voice: Cross-Lingual Neural Codec Language ModelingCode5
Phoneme-Level BERT for Enhanced Prosody of Text-to-Speech with Grapheme PredictionsCode5
ZipVoice-Dialog: Non-Autoregressive Spoken Dialogue Generation with Flow MatchingCode4
ZipVoice: Fast and High-Quality Zero-Shot Text-to-Speech with Flow MatchingCode4
Ming-Omni: A Unified Multimodal Model for Perception and GenerationCode4
VITA-Audio: Fast Interleaved Cross-Modal Token Generation for Efficient Large Speech-Language ModelCode4
AudioLDM 2: Learning Holistic Audio Generation with Self-supervised PretrainingCode4
Enhancing Suno's Bark Text-to-Speech Model: Addressing Limitations Through Meta's Encodec and Pre-Trained HubertCode4
EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-JudgeCode3
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