十分钟看懂微软大力金刚掌WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack
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十分钟告诉你为什么OpenAI的Whisper语音识别没ChatGPT那么好用 [语音语言论文阅读]
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[Long Review] GLaM: Efficient Scaling of Language Models with Mixture-of-Experts
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十分钟看懂脸书太极拳法Wav2Vec2.0 -- 语音预训练模型就像绝命毒师老白教杰西
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[Long Review] Cascaded Diffusion Models for High Fidelity Image Generation
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解锁天顶星科技ChatGPT
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[Long Review] Axial Attention in Multidimensional Transformers
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[Long Review]Switch Transformers: Scaling to Trillion Parameter Models with
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[Long Review] Deduplicating Training Data Makes Language Models Better
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详解OpenAI GPT-3: Language Models are Few-Shot Learners（1/3）
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语音文本技术论文阅读 RefineGAN - Universally Generating Waveform Better than Ground ...
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[Long Review] Wav2Seq: Pre-training Speech-to-Text Encoder-Decoder Models Using
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语音文本技术论文阅读 Joint Unsupervised and Supervised Training for Multilingual ASR
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[Long Review]Kullback-Leibler Divergence: Listen, Attend, Spell and Adapt ASR
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[Long Review] Towards Zero-Label Language Learning
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语音文本技术论文阅读 Exploring Wav2vec 2.0 fine-tuning for improved speech emotion recogni
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语音文本技术论文阅读 SNRi Target Training for Joint Speech Enhancement and Recognition
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语音文本技术论文阅读 Improving Speech Recognition Accuracy of Local POI Using Geographical
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【零基础学AI】清华大佬200集讲完的AI人工智能从入门到精通全套教程，全程干货无废话！看完绝对让你少走弯路！研一研零必看！机器学习-深度学习-opencv
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语音文本技术论文阅读 XLS-R: Self-supervised Cross-lingual Speech Representation Learning a
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[Short Review] Fully Sharded Data Parallel: faster AI training with fewer GPUs
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（强推！）BERT模型项目实战教程！基于BERT模型的文本分类、情感分析及中文命名实体识别实战教程！真的通俗易懂！（人工智能、深度学习、机器学习算法、神经网络）
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[Short Review] Deduplicating Training Data Makes Language Models Better
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详解AudioLM: a Language Modeling Approach to Audio Generation
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十分钟看懂谷歌W2v-BERT: Combining Contrastive Learning and Masked Language Modeling
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[Long Review] CLAS: Deep context: end-to-end contextual speech recognition
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语音文本技术论文阅读 UniSpeech-SAT - Universal Speech Representation Learning with Speaker
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语音NLP论文阅读 Token-level Sequence Labeling for SLU using Compositional E2E Models
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语音合成速度最快的开源TTS | 基于MIT协议可商用的开源TTS | 这是我用过合成速度最快的开源TTS
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[Long Review] Xception: Deep Learning with Depthwise Separable Convolution
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语音文本技术论文阅读 RNN-T: Sequence Transduction with Recurrent Neural Networks