1，如果沒有出現(xiàn)精靈，請(qǐng)安裝資源文件夾里的MSAgent核心庫。 如果精靈說話時(shí)在確定已經(jīng)選擇了發(fā)音選項(xiàng)的情況下，沒有語音，則請(qǐng)安裝資源文件夾中的Text-to-speech語音庫。 2，在精靈上單擊右鍵可以彈出菜單，同樣的在任務(wù)欄的主程序上也有一樣的效果。 雙擊精靈可以彈出發(fā)言對(duì)話框，在對(duì)話框中的發(fā)言快捷鍵是Alt+A。 3，一臺(tái)機(jī)器只可以運(yùn)行一個(gè)聊天精靈，如果想進(jìn)行測試，可以在參數(shù)設(shè)置里把IP地址設(shè)置成本機(jī)地址。這樣可以自己給自己發(fā)送信息。 4，目前聊天精靈只有英文的Text-to-speech語音庫，所以請(qǐng)通過英文來測試語音輸出。 5，想不同的電腦之間正常的互相傳遞信息，請(qǐng)?jiān)趨?shù)設(shè)置里更改地址。
標(biāo)簽：
上傳時(shí)間： 2013-12-21
上傳用戶：yph853211
Beginning with an overview of SQL Server 2000, this book discusses online transaction processing (OLTP) and online analytical processing (OLAP), features a tour of different SQL Server releases, and offers a guide to installation. The author describes and demonstrates the changes since SQL Server 7.0, thoroughly exploring SQL Server 2000 s capacity as a Web-enabled database server. Readers are then immersed in advanced database administration topics such as performance optimization and debugging techniques.
標(biāo)簽： transaction processing Beginning discusses
上傳時(shí)間： 2013-11-28
上傳用戶：eclipse
禁止在TextBox中輸入 作者：土人 方法一：(有光標(biāo)閃爍，輸入、刪除等操作無效) Text1.Locked = True 方法二：(無光標(biāo)閃爍，不能輸入、刪除，界面變色、文字反白) Text1.Enabled = False 方法三：(有光標(biāo)閃爍，可刪除，不能輸入) 此法用兩個(gè)API函數(shù)，略為復(fù)雜些。請(qǐng)?jiān)跇?biāo)準(zhǔn)工程添加兩個(gè)按鈕和一個(gè)文本框：
標(biāo)簽： TextBox 輸入 光標(biāo) 閃爍
上傳時(shí)間： 2013-11-30
上傳用戶：royzhangsz
SAM9261 BasicMMU Example code with ADS1.2 (163 kB) The goal of this project is to show how to use a PC100 SDRAM and the MMU to perform a rating with a 100MHz Bus Clock. The rating is based on Dhrystone 2.1. It shows the rate when I+D Caches are disabled or enabled, with or without MMU and I Cache is disable or enabled, with or without MMU.
標(biāo)簽： BasicMMU Example project 9261
上傳時(shí)間： 2013-12-28
上傳用戶：zhanditian
This leon3 design is tailored to the Altera NiosII Startix2 Development board, with 16-bit DDR SDRAM and 2 Mbyte of SSRAM. As of this time, the DDR interface only works up to 120 MHz. At 130, DDR data can be read but not written. NOTE: the test bench cannot be simulated with DDR enabled because the Altera pads do not have the correct delay models. * How to program the flash prom with a FPGA programming file 1. Create a hex file of the programming file with Quartus. 2. Convert it to srecord and adjust the load address: objcopy --adjust-vma=0x800000 output_file.hexout -O srec fpga.srec 3. Program the flash memory using grmon: flash erase 0x800000 0xb00000 flash load fpga.srec
標(biāo)簽： Development Startix2 tailored Altera
上傳時(shí)間： 2014-01-19
上傳用戶：chongcongying
siptapi A TAPI driver for SIP. With this TAPI driver you have a click2dial feature with any TAPI enabled application (e.g. MS Outlook) and any SIP account (e.g. freeworlddialup or iptel.org).
標(biāo)簽： TAPI driver click2dial siptapi
上傳時(shí)間： 2014-01-07
上傳用戶：jjj0202
JTop monitors the CPU usage of all threads in a remote application which has remote management enabled. JTop demonstrates the use of the java.lang.management API to obtain the CPU consumption for each thread.
標(biāo)簽： remote application management monitors
上傳時(shí)間： 2013-12-24
上傳用戶：lps11188
TTS，TTS To Speech,Read the text using the microsoft TTS engine,and ACE libraly
標(biāo)簽： TTS
上傳時(shí)間： 2015-12-11
上傳用戶：氣溫達(dá)上千萬的
ITU-T G.729語音壓縮算法。 description: Fixed-point description of commendation G.729 with ANNEX B Coding of Speech at 8 kbit/s using Conjugate-Structure Algebraic-Code-Excited Linear-Prediction (CS-ACELP) with Voice Activity Decision(VAD), Discontinuous Transmission(DTX), and Comfort Noise Generation(CNG).
標(biāo)簽： description commendation Fixed-point 729
上傳時(shí)間： 2014-11-23
上傳用戶：thesk123
Hidden_Markov_model_for_automatic_speech_recognition This code implements in C++ a basic left-right hidden Markov model and corresponding Baum-Welch (ML) training algorithm. It is meant as an example of the HMM algorithms described by L.Rabiner (1) and others. Serious students are directed to the sources listed below for a theoretical description of the algorithm. KF Lee (2) offers an especially good tutorial of how to build a speech recognition system using hidden Markov models.
標(biāo)簽： Hidden_Markov_model_for_automatic speech_recognition implements left-right
上傳時(shí)間： 2016-01-23
上傳用戶：569342831
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