[Long Review] Deduplicating Training Data Makes Language Models Better
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[Long Review] Wav2Seq: Pre-training Speech-to-Text Encoder-Decoder Models Using
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十分钟看懂谷歌W2v-BERT: Combining Contrastive Learning and Masked Language Modeling
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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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语音文本技术论文阅读 SNRi Target Training for Joint Speech Enhancement and Recognition
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[Long Review] Transfer Learning from Speaker Verification to Multispeaker TTS
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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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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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语音文本技术论文阅读 Scaling Laws for Neural Language Models
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解锁天顶星科技ChatGPT
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[Long Review]Switch Transformers: Scaling to Trillion Parameter Models with
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[Long Review] Cascaded Diffusion Models for High Fidelity Image Generation
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[Short Review] Fully Sharded Data Parallel: faster AI training with fewer GPUs
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三分钟搞定ChatGPT
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[Long Review] Axial Attention in Multidimensional Transformers
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三分钟搞定微软零样本语音合成VALL-E
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详解OpenAI GPT-3: Language Models are Few-Shot Learners（1/3）
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[Long Review] CLAS: Deep context: end-to-end contextual speech recognition
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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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十分钟看懂谷歌易筋经BERT
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[Long Review] Conformer: Convolution-augmented Transformer for Speech Recogniti
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十分钟看懂脸书虎爪绝户手 - 虎BERT - HuBERT: Self-Supervised Speech Representation Learning
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强推！这可能是B站最全的（Python＋机器学习＋深度学习）系列课程了，堪称人工智能系列课程的巅峰之作！-人工智能/深度学习/机器学习
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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 Improving Speech Recognition Accuracy of Local POI Using Geographical
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[Long Review] Towards Zero-Label Language Learning
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【中字】Apple 秋季发布会完整版！首发全新3nm、史上最快CPU/GPU！AI 功能中文版明年上线
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详解OpenAI GPT-3: Language Models are Few-Shot Learners(2/3)
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CV论文阅读OpenAI CLIP(2/3):Learning Transferable Visual Models From Natural Language
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语音文本技术论文阅读 RNN-T: Sequence Transduction with Recurrent Neural Networks
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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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语音文本技术论文阅读 RefineGAN - Universally Generating Waveform Better than Ground ...
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知识图谱实战系列：华东理工博士精讲知识图谱核心知识点，带你实战练手Neo4j图数据、医疗智能问答助手、NLP关系抽取核心等！
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十分钟看懂谷歌金钟罩Transformer以及语音的LAS模型
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[Short Review]Conformer Convolution-augmented Transformer for Speech Recognition
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[Short Review] Transfer Learning from Speaker Verification to Multispeaker TTS
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强推！这可能是唯一能将AI Agent讲清楚的课程了，公认最适合新手入门Agent大模型实战系列，3小时全流程解读分析，简直比刷剧还爽！人工智能|大模型
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[Short Review] Cascaded Diffusion Models for High Fidelity Image Generation
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从OpenAI's Whisper模型到你自主研发的语音识别服务: 长音频与流式识别 (第三部分)
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[Short Review] Wav2Seq: Pre-training Speech-to-Text Encoder-Decoder Models Using
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B站史上最全的【NLP自然语言处理】保姆级入门教程，整整300集从零基础到项目实战，草履虫都能听懂学完即可就业！