资源列表
TETRA_aclep
- TETRA系统中使用的ACELP编码程序，通过VS2008编译并仿真成功，可以听ACELP解压后的语音。4.567kbps-TETRA system used in the ACELP coding process through the VS2008 compile and simulation successfully, you can listen to the voice ACELP after decompression. 4.567kbps
LD_Demo_Source
- LD2XXX,一款比较好用的语音合成芯片，可以将ASCII和Unicode字符转换为语音。-LD2XXX, a relatively easy to use speech synthesis chip, can be converted to ASCII and Unicode characters voice.
lucenc230
- Lucene.Net 2.3.2,最新发布，提供reopen等功能，很好很强大-Lucene.Net 2.3.2, the latest release, providing reopen and other functions, good strong
onLineRadio
- 可以在线听广播电台的C#源码，只要提供地址就可以了，可以是本地或网络地址。-online radio station C# source code, as long as we can provide addresses, may be local or network addresses.
pinyin_python
- 能将任一分过词的文章，进行去重、排序，转换为拼音、将拼音转换为音素。可用于汉语语音识别前的语料准备。代码已在python 2.7上运行通过。-Able to any one point of the cross-word article, de-emphasis, sort, convert Pinyin Pinyin conversion to phonemes. Can be used for the corpus preparation before the Chinese speech
document
- 小词汇量语音识别系统（含隐马尔科夫模型，端点判别，矢量量化）
yuyinshiyutezheng
- 对语音信号进行处理时需要提取各种特征参数，本程序时对语音信号各种时域特征的描述。-Need to extract the characteristic parameters of the speech signal processing, a descr iption of the voice signal a variety of time-domain characteristics of this program.
PNCC2012KimStern
- PNCC paper, Kim, Stern, Machine Learnin.
speakerrecognization
- 摘要说话人识别在自动身份鉴别方面具有重要的现实意义。文章在分析了说话人识别实现的可行性基础上*提 出采用长时线性预测倒谱 +,--.,)系数和矢量量化 /0)模型的不依赖于文本的说话人识别方法，并成功地应用于 一个数据库查询系统中。-65DL5<?E5=7?9?AD7?8=CDH H?>=?9?AD=7 D66@?AD7?8=H?=D 78:D7?A?=E?G?E D@<5A8>=?7?8=D<5D#M=7C?H 6D65<* 7C5 68HH?N
rasta2_3beta
- RASTA is a program for performing feature extraction in speech recognition systems. It takes files or streams of audio data and produces files or streams of feature vectors. Three feature extraction approaches are supported - PLP, log-rasta and
dake-openVP-af1349a
- openvp,基于GMM和MFcc的声纹识别-openvp, based on GMM and MFcc voiceprint recognition
speech_recognition_by_MFCC
- 语音识别有说话者识别和语义识别等，文章中是用MFCC实现的语义识别中的阿拉伯数字0-9的识别，以及结果。-Speech recognition with speaker recognition and semantic recognition, the article is realized with MFCC recognition of the Arabic numerals 0-9 semantic identification, and results.