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Speech Recognition Software 评分:

语音识别软件说明文档 包括SPHINX,XVIOCE等等
2010-12-27 上传大小:51KB
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语音识别基本原理(Fundamentals of speech recognition

书(影印版),页码全,并且附带图书阅览器。

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Automatic Speech Recognition A Deep Learning Approach

解析深度学习-语音识别实践-英文版,没有找到中文版的

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SPEECH RECOGNITION WITH WEIGHTED FINITE-STATE TRANSDUCERS (WFST))

Kaldi讲WFST的官方文档,里面涉及到了群,半群,理解组合算法,和优化算法

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Speech Recognition Algorithms Using Weighted Finite-State Transducers

Speech Recognition Algorithms Using Weighted Finite-State Transducers

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语音识别基本原理 Fundamentals of Speech Recognition.pdf

质量一般吧,不过第6章关于HMM的部分比较详细,作者之一便是Lawrence Rabiner;

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ESE: Efficient Speech Recognition Engine with Sparse LSTM on FPGA

FPGA 领域顶级会议 FPGA 2017 于 2 月 24 日在加州 Monterey 结束。在本次大会上,深鉴科技论文《ESE: Efficient Speech Recognition Engine with Sparse LSTM on FPGA》获得了大会最佳论文奖(Best Paper Award)。

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speech-recognition

speech-recognition,语音识别!语音识别!语音识别!语音识别!

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Google Cloud Speech Recognition 3.0

Google Cloud Speech Recognition How to use First of all, you need to add GCSpeechRecognition prefab from FrostweepGames->GCSpeechRecognition->Prefabs folder to your working scene. Then you need to set your own API key of Google Cloud Speech Recognition into Api Key field and enable IsUseAPIKeyFromPr

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FUNDAMENTALS OF SPEECH RECOGNITION(语音识别基本原理)》(英文).zip

FUNDAMENTALS OF SPEECH RECOGNITION(语音识别基本原理)》(英文)

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Fundamentals_of_Speech_Recognition

语音识别经典教材,剑桥大学出版。。。。。。印影版 。。

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automatic speech recognition a deep learning approach

这是经典的基于深度学习的语音识别教科书,由俞栋和邓力老师写的

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Distant speech recognition

语音识别 The goal of this research effort has been and remains to enable simple and natural human–computer interaction (HCI). Achieving this goal is of paramount importance, as verbal communication is not only fast and convenient, but also the only feasible means of HCI in a broad variety of circumstanc

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SpeechRecognition

根据android源码中的语音识别代码修改,点击开始后,每次识别不用重新点击开始

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Deep Speech 2 End to End Speech Recognition inEnglish and Mandarin

百度第二代语音识别deep speech2相关论文,稍后上传相关代码

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2015 Automatic Speech Recognition A Deep Learning Approach

2015 Automatic Speech Recognition A Deep Learning Approach

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New Era for Robust Speech Recognition.pdf

Shinji Watanabe • Marc Delcroix • Florian Metze • John R. Hershey Editors New Era for Robust Speech Recognition Exploiting Deep Learning

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A Speaker-Independent Audio-Visual Model for Speech Separation(中文)

A Speaker-Independent Audio-Visual Model for Speech Separation(高质量翻译By翻译狗),详细解析音频分离的实现方式

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Deep Learning in Python

Deep Learning in Python: Master Data Science and Machine Learning with Modern Neural Networks written in Python, Theano, and TensorFlow (Machine Learning in Python) by LazyProgrammer English | March 11, 2016 | ASIN: B01CVJ19E8 | 38 Pages | AZW3/MOBI/EPUB/PDF (conv) | 1.19 MB

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D L with App Using Py: Chatbots and Face, Object, and Speech Recognition with Tf

Explore deep learning applications, such as computer vision, speech recognition, and chatbots, using frameworks such as TensorFlow and Keras. This book helps you to ramp up your practical know-how in a short period of time and focuses you on the domain, models, and algorithms required for deep learn

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The Application of Hidden Markov Models in Speech Recognition

Hidden Markov Models (HMMs) provide a simple and effective framework for modelling time-varying spectral vector sequences. As a consequence, almost all present day large vocabulary continuous speech recognition (LVCSR) systems are based on HMMs. Whereas the basic principles underlying HMM-based LVCS

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spring mvc+mybatis+mysql+maven+bootstrap 整合实现增删查改简单实例.zip

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Speech Recognition Software

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