https://github.com/MindSpore-scientific/code-1/tree/main/SING
DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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.")
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism
Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis
Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis
Systematic Inequalities in Language Technology Performance across the World's Languages
FastSpeech 2: Fast and High-Quality End-to-End Text to Speech
Defense for Black-box Attacks on Anti-spoofing Models by Self-Supervised Learning
Seed-TTS: A Family of High-Quality Versatile Speech Generation Models
FastSpeech 2: Fast and High-Quality End-to-End Text to Speech
Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis
Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis
Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning
ProDiff: Progressive Fast Diffusion Model For High-Quality Text-to-Speech
Defense for Black-box Attacks on Anti-spoofing Models by Self-Supervised Learning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.