Papers with Code 아카이브
Text to Speech
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 2
- 보존된 평가 기록
- 2
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.")
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/PaddlePaddle/PaddleSpeech
공식 코드https://github.com/ROBOTICSENGINEER/social_humanoid_robots
공식 코드A wearable sensor vest for social humanoid robots with GPGPU, IoT, and modular software architecture
https://github.com/Rongjiehuang/FastDiff
공식 코드FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis
https://github.com/Rongjiehuang/GenerSpeech
공식 코드GenerSpeech: Towards Style Transfer for Generalizable Out-Of-Domain Text-to-Speech
https://github.com/Rongjiehuang/ProDiff
공식 코드ProDiff: Progressive Fast Diffusion Model For High-Quality Text-to-Speech
https://github.com/SWivid/F5-TTS
공식 코드F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching
https://github.com/ShenranTomWang/TTS
공식 코드Developing multilingual speech synthesis system for Ojibwe, Mi'kmaq, and Maliseet
https://github.com/SungFeng-Huang/Meta-TTS
공식 코드Meta-TTS: Meta-Learning for Few-Shot Speaker Adaptive Text-to-Speech
https://github.com/TASER2023/TASER
공식 코드ALIF: Low-Cost Adversarial Audio Attacks on Black-Box Speech Platforms using Linguistic Features
https://github.com/TTS-Research/PEL-TTS
공식 코드Parameter-Efficient Learning for Text-to-Speech Accent Adaptation
https://github.com/Tomiinek/Multilingual_Text_to_Speech
공식 코드One Model, Many Languages: Meta-learning for Multilingual Text-to-Speech
https://github.com/WangHelin1997/SSR-Speech
공식 코드SSR-Speech: Towards Stable, Safe and Robust Zero-shot Text-based Speech Editing and Synthesis
https://github.com/William-N-Havard/SpeechCoco
공식 코드SPEECH-COCO: 600k Visually Grounded Spoken Captions Aligned to MSCOCO Data Set
https://github.com/X-LANCE/VoiceFlow-TTS
공식 코드VoiceFlow: Efficient Text-to-Speech with Rectified Flow Matching
https://github.com/XinyuZhou2000/Spoken_Dialogue
공식 코드Towards Joint Modeling of Dialogue Response and Speech Synthesis based on Large Language Model
https://github.com/ZackHodari/average_prosody
공식 코드Using generative modelling to produce varied intonation for speech synthesis
https://github.com/ZackHodari/discrete_intonation
공식 코드https://github.com/abjadai/catt
공식 코드https://github.com/adil-soubki/sad-training
공식 코드https://github.com/ai-s2-lab/emopp
공식 코드Emotion-Aware Prosodic Phrasing for Expressive Text-to-Speech
https://github.com/ai-s2-lab/fluenteditor2
공식 코드FluentEditor2: Text-based Speech Editing by Modeling Multi-Scale Acoustic and Prosody Consistency
https://github.com/ai-s2-lab/m2s-add
공식 코드Betray Oneself: A Novel Audio DeepFake Detection Model via Mono-to-Stereo Conversion
https://github.com/ai-s2-lab/m2se-vtts
공식 코드Multi-modal and Multi-scale Spatial Environment Understanding for Immersive Visual Text-to-Speech
https://github.com/ai4bharat/indicvoices-r
공식 코드IndicVoices-R: Unlocking a Massive Multilingual Multi-speaker Speech Corpus for Scaling Indian TTS
https://github.com/aixplain/tts-qa
공식 코드An Automated End-to-End Open-Source Software for High-Quality Text-to-Speech Dataset Generation
https://github.com/ajd12342/paraspeechcaps
공식 코드https://github.com/alibaba-damo-academy/funcodec
공식 코드FunCodec: A Fundamental, Reproducible and Integrable Open-source Toolkit for Neural Speech Codec
https://github.com/alpoktem/bible2speechdb
공식 코드BibleTTS: a large, high-fidelity, multilingual, and uniquely African speech corpus
https://github.com/amazon-research/proteno
공식 코드Proteno: Text Normalization with Limited Data for Fast Deployment in Text to Speech Systems
https://github.com/amforever/fmfcc-a
공식 코드FMFCC-A: A Challenging Mandarin Dataset for Synthetic Speech Detection
https://github.com/amu-cai/cloneval
공식 코드https://github.com/anandaswarup/phrase_break_prediction
공식 코드An investigation of phrase break prediction in an End-to-End TTS system
https://github.com/anandaswarup/rnn-tts
공식 코드An investigation of phrase break prediction in an End-to-End TTS system
https://github.com/anonymous-pits/pits
공식 코드https://github.com/b04901014/FG-transformer-TTS
공식 코드Fine-grained style control in Transformer-based Text-to-speech Synthesis
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.