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[经验]

Cirrus Logic的语音捕获开发套件和Seeed的ReSpeaker核心

今天,我很高兴推出两款可以帮助您为产品添加语音识别服务的设备。
语音识别在我们日常生活中使用的产品和设备中变得不那么新颖,而且更加需要。
为了帮助您熟悉这项技术,我们提供了一些可以帮助您解决问题的工具包。
Cirrus Logic的语音捕获开发套件(部件号598-2471-KIT)配有CRD1569-1语音捕获板,Raspberry Pi,电源,带状电缆和无源扬声器。
该套件中的语音捕获板基本上是Raspberry Pi的HAT(硬件附加在顶部)。
此HAT使您能够将Amazon Alexa语音服务添加到您的产品中。
此外,Alexa开发软件允许您为您的设计添加自定义词汇表。
我今天要讨论的第二个产品来自Seeed Technology,其形式为ReSpeaker Core,它基于MT7688和OpenWRT(部件号102010088)。
最初由Kickstarter资助,ReSpeaker需要比我之前提到的Cirrus Kit更多的开发。
该套件配有ReSpeaker Core和8 Gig Micro SD卡。
剩下的由你决定。
有各种与ReSpeaker兼容的板,包括Grove系统。
该板运行OpenWRT,允许您设置ReSpeaker以进行网络通信(例如,作为路由器或交换机)。
通过使用ATMega32U4处理器,您可以像对待Arduino设备一样对ReSpeaker进行编程,或者,如果您愿意,可以使用C,C ++或Python库。
最重要的是,有一些开源项目可用于离线语音识别,能够将该设备与PC连接,并与Bing(微软)字识别系统进行通信,以实现语音到文本和文本到语音。
你使用过这些设备吗?
请在评论中告诉我们,并一如既往地感谢您的观看!

以上来自于谷歌翻译


以下为原文





Today I am excited to present two devices that will aid you in adding voice recognition services to your products. Speech recognition is becoming less of a novelty and more of a requirement in products and devices that are used in our daily lives. To help get you familiar with this technology we have a couple of kits that can get you on your way.
The Voice Capture Development Kit from Cirrus Logic (part number 598-2471-KIT) comes complete with the CRD1569-1 voice capture board, a Raspberry Pi, power supply, ribbon cable, and passive speaker. The voice capture board in this kit is essentially a HAT (Hardware Attached on Top) for the Raspberry Pi. This HAT gives you the ability to add Amazon Alexa voice services to your product. Additionally, the Alexa development software allows you to add custom vocabulary to your design.
The second product I want to discuss today comes from Seeed Technology in the form of the ReSpeaker Core which is based on MT7688 and OpenWRT (part number 102010088). Originally funded through Kickstarter, the ReSpeaker requires a bit more development than the Cirrus Kit I mentioned previously. This kit comes with the ReSpeaker Core and an 8 Gig Micro SD Card. The rest is up to you. There are a variety of boards that are compatible with the ReSpeaker, including the Grove System. This board runs OpenWRT which allows you to set up the ReSpeaker for network communication (as a router or switch for example). By utilizing the ATMega32U4 processor, you are able to program the ReSpeaker just as you would an Arduino device, or, if you wish, you can use the C, C++, or Python libraries. On top of that, there are open source projects available for offline speech recognition with the ability to tie this device to a PC and communicate with the Bing (Microsoft) word recognition system for speech-to-text and text-to-speech.
Have you used either of these devices? Let us know in the comments, and as always, thanks for watching!

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