端到端智能语音交互模型的相关内容

阿里云文档 2024-08-26

如何使用POPAPI在客户端自行操作训练自学习模型

本文为您介绍如何使用POP API，在客户端自行操作训练自学习模型，不需要依赖管控台的设置。

问答 2024-06-24 来自：开发者社区

管理定制模型

对于已创建的定制模型，您可以对其进行自动化测试、重新训练及删除操作。

阿里云文档 2024-01-29

如何在控制台创建定制模型并应用模型_智能语音交互(ISI)

本文为您介绍如何在控制台创建定制模型并应用模型。

阿里云文档 2024-01-16

如何在SDK中使用POP API设置自学习模型

本文为您介绍如何在SDK中使用POP API设置自学习模型。

文章 2023-05-13 来自：开发者社区

开源｜业界首个应用落地的非自回归端到端语音识别模型，推理效率可提升10倍

近期，阿里巴巴达摩院发布新一代语音识别模型Paraformer，这是业界首个应用落地的非自回归端到端语音识别模型，在推理效率上最高可较传统模型提升10倍，且识别准确率在多个权威数据集上名列第一。目前，该模型于魔搭社区面向全社会开源，适用语音输入法、智能客服、车载导航、会议纪要等众多场景。01下一代语音识别模型：从自回归到非自回归的探索语音作为最自然的交流途径, 一直是人机交互重要研究领域。当前语....

文章 2023-05-13 来自：开发者社区

INTERSPEECH 2022论文解读｜Paraformer: 高识别率、高计算效率的单轮非自回归端到端语音识别模型

INTERSPEECH 是由国际语音通讯协会（International Speech Communication Association, ISCA）创办的语音信号处理领域顶级旗舰国际会议。历届 INTERSPEECH 会议都备受全球各地语音语言领域人士的广泛关注。本文介绍一种具有高识别率与计算效率的单轮非自回归模型 Paraformer。该论文已被 INTERSPEECH 2022 接收。近....

文章 2022-07-29 来自：开发者社区

INTERSPEECH 2022论文解读｜Paraformer: 高识别率、高计算效率的单轮非自回归端到端语音识别模型

针对 Transoformer 模型自回归生成文字的低计算效率的缺陷，学术界提出了非自回归模型来并行地输出目标文字（如图1所示）。根据生成目标文字时的迭代轮数，非自回归模型分为：多轮迭代式与单轮非自回归模型。迭代式非自回归模型，主要为 Mask-Predict 模式[2]，训练时，将输入文字随机掩码，通过周边信息预测当前文字。解码时，采用多轮迭代的方式逐步生成目标文字；计算复杂度与迭代轮数有关（....

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更新时间 2024-06-25 05:46:17

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