https://github.com/cyanbx/FastLTS
공식 코드FastLTS: Non-Autoregressive End-to-End Unconstrained Lip-to-Speech Synthesis
Papers with Code 아카이브
Accented Speech Recognition
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/cyjie429/rego
공식 코드Region-Based Optimization in Continual Learning for Audio Deepfake Detection
https://github.com/d223302/subjectiveevaluation
공식 코드Why We Should Report the Details in Subjective Evaluation of TTS More Rigorously
https://github.com/daisyqk/automatic-prosody-annotation
공식 코드Automatic Prosody Annotation with Pre-Trained Text-Speech Model
https://github.com/dan8991/the-sound-of-silence
공식 코드The Sound of Silence: Efficiency of First Digit Features in Synthetic Audio Detection
https://github.com/danielshaps/evoclearn_optccv_2022
공식 코드Exploration strategies for articulatory synthesis of complex syllable onsets
https://github.com/dapwner/cvae-tacotron
공식 코드Accented Text-to-Speech Synthesis with a Conditional Variational Autoencoder
https://github.com/declare-lab/adapter-mix
공식 코드ADAPTERMIX: Exploring the Efficacy of Mixture of Adapters for Low-Resource TTS Adaptation
https://github.com/declare-lab/hypertts
공식 코드HyperTTS: Parameter Efficient Adaptation in Text to Speech using Hypernetworks
https://github.com/declare-lab/speech-adapters
공식 코드https://github.com/deepvk/emospeech
공식 코드EmoSpeech: Guiding FastSpeech2 Towards Emotional Text to Speech
https://github.com/descriptinc/melgan-neurips
공식 코드MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis
https://github.com/dgaddy/silent_speech
공식 코드https://github.com/digitalphonetics/ims-toucan
공식 코드Meta Learning Text-to-Speech Synthesis in over 7000 Languages
https://github.com/digitalphonetics/speaker-anonymization
공식 코드Speaker Anonymization with Phonetic Intermediate Representations
https://github.com/dmse4tts/dmse4tts
공식 코드Diffusion-Based Mel-Spectrogram Enhancement for Personalized Speech Synthesis with Found Data
https://github.com/edresson/wav2vec-wrapper
공식 코드https://github.com/ehughson/voice_toolbox
공식 코드Read the Room: Adapting a Robot's Voice to Ambient and Social Contexts
https://github.com/espnet/espnet
공식 코드https://github.com/facebookresearch/fairseq
공식 코드https://github.com/facebookresearch/seamless_communication
공식 코드SeamlessM4T: Massively Multilingual & Multimodal Machine Translation
https://github.com/facebookresearch/vocoder-benchmark
공식 코드https://github.com/funaudiollm/cosyvoice
공식 코드https://github.com/g-milis/NEUTART
공식 코드https://github.com/gabrielmittag/NISQA
공식 코드Deep Learning Based Assessment of Synthetic Speech Naturalness
https://github.com/gbegus/articulationgan
공식 코드Articulation GAN: Unsupervised modeling of articulatory learning
https://github.com/gemelo-ai/vocos
공식 코드https://github.com/gerazov/prosodeep
공식 코드A Variational Prosody Model for the decomposition and synthesis of speech prosody
https://github.com/gokulkarthik/text2speech
공식 코드Towards Building Text-To-Speech Systems for the Next Billion Users
https://github.com/google-research-datasets/common-crawl-domain-names
공식 코드https://github.com/google-research/google-research
공식 코드https://github.com/gpt-omni/mini-omni
공식 코드Mini-Omni: Language Models Can Hear, Talk While Thinking in Streaming
https://github.com/hsoh0306/diffprosody
공식 코드https://github.com/huawei-noah/Speech-Backbones
공식 코드Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech
https://github.com/iamanigeeit/present
공식 코드https://github.com/ictnlp/llama-omni2
공식 코드LLaMA-Omni2: LLM-based Real-time Spoken Chatbot with Autoregressive Streaming Speech Synthesis
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.