语音论文解读end

语音顶会Interspeech 论文解读｜Constrained output embeddings for end-to-end code-...

to-end code-switching speech recognition with only monolingual data》点击下载论文文章解读 Code-switching(CS)是在一个对话中同时使用多于一种语言。它对许多语音和语言处理的应用程序构成非常严重的挑战。最近，端到端的CS语音识别...

语音顶会Interspeech 论文解读｜Towards Language-Universal Mandarin-English Speech...

Universal Mandarin-English Speech Recognition》点击下载论文文章解读目前的语音识别系统主要是针对特定语种的识别系统，例如中文语音识别，英文语音识别系统等。对于一个智能交互系统，通常需要部署不同语种的语音识别系统，这个极大...

EMNLP 2022论文解读|SOND：基于显式语音重叠建模的说话人日志模型

此前，达摩院语音实验室对说话人日志中的聚类算法进行探索，提出了能够利用语音拓扑结构信息的社群检测聚类算法并被语音领域顶级会议ICASSP 2022接收，详情参见论文“Reformulating speaker diarization as community detection with ...

语音顶会Interspeech 论文解读｜Audio Tagging with Compact Feedforward Sequential ...

to-Audio Ratio Based Data Augmentation》点击下载论文文章解读音频打标是音频场景和事件分析的任务之一，它的作用是判断音频中所包含的声音事件。近年来，卷积神经网络在音频打标任务上显示特别优异的性能。但是，由于卷积神经网络的...

语音顶会Interspeech 论文解读｜Investigation of Transformer based Spelling ...

based End-to-End Mandarin Speech Recognition》点击下载论文文章解读基于CTC（Connectionist Temporal Classification）的端到端语音识别系统，通常需要联合语言模型进行解码。对于中文，由于存在大量的同音字，所以联合语言模型进行...

语音顶会Interspeech 论文解读｜Autoencoder-based Semi-Supervised Curriculum ...

based Semi-Supervised Curriculum Learning For Out-of-domain Speaker Verification》点击下载论文文章解读本文提出了一种基于Denoising Autoencoder的跨信道声纹识别无监督训练框架。当声纹识别模型的训练数据与测试数据存在信道差异...

语音顶会Interspeech 论文解读｜Multi-Task Multi-Network Joint-Learning of Deep ...

Task Multi-Network Joint-Learning of Deep Residual Networks and Cycle-Consistency Generative Adversarial Networks for Robust Speech Recognition》点击下载论文文章解读自动语音识别系统（ASR）在实际生活中有着广泛的应用场景，...

语音顶会Interspeech 论文解读｜Fast Learning for Non-Parallel Many-to-Many Voice ...

Parallel Many-to-Many Voice Conversion with Residual Star Generative Adversarial Networks》点击下载论文文章解读语音转换（Voice Conversion，VC）的主要目标是将源说话者的语音转换为目标说话者的语音，同时具有与原始样本相同的...

语音顶会Interspeech 论文解读｜Towards A Fault-tolerant Speaker Verification ...

tolerant Speaker Verification System:A Regularization Approach To Reduce The Condition Number》点击下载论文文章解读在常用的声纹模型的训练中，当部分训练数据被污染时，模型对错误标注数据会表现得较为敏感。如表格1所示，当随机...

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...

其核心点主要有：Predictor 模块：基于 CIF 的 Predictor 来预测语音中目标文字个数以及抽取目标文字对应的声学特征向量Sampler：通过采样，将声学特征向量与目标文字向量变换成含有语义信息的特征向量，配合双向的 Decoder 来增强模型对于...

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