智能语音交互interspeech 的相关内容

文章 2023-05-13 来自：开发者社区

INTERSPEECH 2022论文解读｜针对多方会议场景下说话人相关语音识别的对比研究

说话人相关语音识别 (Speaker-Attributed Automatic Speech Recognition，SA-ASR) 是多方会议转录的主要目的，旨在解决“谁说了什么”这个问题。与多说话人语音识别相比，SA-ASR 不仅需要转录重叠语音段内不同说话人的抄本，同时还需要对识别的抄本分配说话人的标签。多方会议场景包含了丰富的讲话风格和复杂的声学条件，需要考虑到重叠语音、数量未知的说话人....

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（....

文章 2018-01-04 来自：开发者社区

INTERSPEECH 2017系列 | 语音识别之后处理技术

编者：今年的INTERSPEECH于8月20日至24日在瑞典的斯德哥尔摩顺利召开，众多的高校研究机构和著名的公司纷纷在本次会议上介绍了各自最新的技术、系统和相关产品，而阿里巴巴集团作为钻石赞助商也派出了强大的阵容前往现场。从10月25日开始，阿里iDST语音团队和云栖社区将共同打造一系列语音技术分享会，旨在为大家分享INTERSPEECH2017会议上语音技术各个方面的进展。本期分享的主题是远场....

文章 2017-12-02 来自：开发者社区

INTERSPEECH 2017系列 | 语音识别技术之声学模型

文章 2017-11-27 来自：开发者社区

INTERSPEECH 2017系列 | 远场语音识别技术

文章 2017-11-13 来自：开发者社区

INTERSPEECH 2017系列 | 语音识别之语言模型技术

文章 2017-10-31 来自：开发者社区

INTERSPEECH 2017系列 | 语音识别技术之自适应技术

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更新时间 2023-08-16 16:16:45

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