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LSAgai
- 对数谱最小均方误差语音增强算法（LSA-MMSE），对加入有音无音判决进一步提高信噪比，消噪效果非常好。适合各种平稳噪声。-right spectrum minimum mean square error speech enhancement algorithm (LSA - MMSE). sound right to a sound judgment without further improve signal-to-noise ratio, denoising effect was very
ffmpeg-r10408-dll
- Movie2Mobile, written in Python, is a tool for transcoding your favorite movie into the 3gp format, used by most mobile phones. For encoding, MPlayer, MEncoder and FFMpeg is used, to offer a wide range of input formats, including DVD, AVI/MPEG and (S
smartread_sdk
- 在你的软件中加入文本朗读,混读功能,支持中文,英文男女声混合朗读,免费提供多种语音库 ,在朗读文本时,可以自由设定朗读语音,语速,音量 并可以将文本朗读到Wave文件中去. 朗读时高亮显示文字功能,朗读是否结束的信息.-At the software you add text to read, read mixed function, support Chinese, English mixed male and female voices reading aloud, free databa
zubo
- 这套软件视频会议包括客户端+服务器端全套完整源代码，还有开发文档。也可进行二次开发。可与贵单位原有的网站和业务管理软件进行很好的融合（如OA 系统、MIS系统、ERP系统等），为您提供广泛的应用服务。 我公司提供软件视频会议系统 ，有完整的说明文档 ，视频会议全部源代码-Video conferencing software, including client+ Complete server-side source code, as well as the development of
G723
- G.723 是H.323协议族中的音频编码标准之一，也是应用非常广泛的音频标准，该压缩文件包含了ITU G.723的标准，同时也包含了对应的源代码，可用VC++进行编译。-G.723 is the H.323 protocol suite in one of the audio coding standard, but also the application of a very wide range of audio standards, the compressed file contai
VoiceRecognition
- 最新语音识别整理，个人整理，涵盖面广，内容精练-Finishing the latest speech recognition, personal order, covering a wide range of
The-research-of-anti-niose-speech
- 论文首先介绍了传统的语音特征参数MFCC，它是基于人耳听觉 特性设计的一种特征参数，在静音环境下能得到较高的识别率，但在 信噪比较低时识别率急剧下降，不利于实用化。本文通过对MFCC算 法的分析和研究，发现其中的FFT和DCT在整个时频空间使用固定的 。分析窗，这不符合语音信号特性，而小波变换具有多分辨率特性，更 符合人耳的听觉特性。因此，本文将小波变换和MFCC算法相结合， 提出了三种新的语音识别特-Speech recognition has wide use in
Speech-coding---S.-Sridharan.pdf
- Speech coding, quantization, linear prediction, Wide band coders, measuring the perfomrmance of speech coders, speech codeing over noisy channels, etc.
A-tutorial-on-Hidden-Markov-Models---Lawrence-R.-
- Although initially introduced and studied in the late 1960s and early 1970s, statistical methods of Markov source or hidden Markov modeling have become increasingly popular in the last several years. There are two strong reasons why this has occurred