Voice Kit. Want to learn how to use your Voice Kit to control other Io. T devices You can start here with a Particle Photon a Wi Fi development kit for Io. T projects and Dialogflow a tool for creating conversational interfaces. This tutorial will show how to make your Voice Kit communicate with Dialogflow and Actions on Google to control an LED light with the Photon by voice. Get all the code for this example here. Whats included. This example ties together multiple technology platforms, so there are a few separate components included in this repo dialogflow agent an agent for Dialogflowdialogflow webhook a web app to parse and react to the Dialogflow agents webhookparticle photon a Photon app to handle web requests, and to turn the light on and off. Weve included two separate web app implementations. Choose and build on the one that best suits your preferences This should be enough to get you started and on to building great things What youll need. Well build our web app with Node. Voice Detection Software' title='Voice Detection Software' />On the hardware side, you will need Its handy to have a breadboard, some hookup wire, and a bright LED, and the examples will show those in action. However, the Photon has an addressable LED built in, so you can use just the Photon itself to test all the code presented here if you prefer. Youll also need accounts with Dialogflow for understanding user voice queriesGoogle Cloud for hosting the webhook webappserviceParticle Cloud for deploying your Photon code and communicating with the Particle APIIf youre just starting out, or if youre already comfortable with a microservices approach, you can use the 1 firebase functions example its easy to configure and requires no other infrastructure setup. If youd prefer to run it on a full server environment, or if you plan to build out a larger application from this, use the 2 app engine example which can also run on any other server of your choosing. If youve got all those or similar servicesdevices good to go, then were ready to start Getting started. Assuming you have all the required devices and accounts as noted above, the first thing youll want to do is to set up apps on the corresponding services so you can get your devices talking to each other. Local setup. First, youll need to clone this repo, and cd into the newly created directory. You should see three directories alongside some additional files dialogflow agent the contents of the action to deploy on Dialogflowdialogflow webhook a web application to parse the Google ActionsDialogflow webhook with server based and cloud function optionsparticle photon sample code to flash onto the Particle Photon. Way2call hiphone desktop, maestro are TAPI compliant USB telephony card device and hardware board for IVR, voip, tapi applications for business anwering machine. Pages Report Emotion detection and recognition market categorizes the global market by technology as biosensor, NLP, machine learning, by software tool as. AV_Voice_Changer_Software_Diamond_8.0.24-2.jpg' alt='Free Voice Detection Software' title='Free Voice Detection Software' />Safety Gas Detection are specialists in safety gas detection equipment and systems. We can supply, install and maintain. Contact us for a free evaluation. Once youve taken a look, well move on Dialogflow. Using the Dialogflow account referenced above, youll want to create a Dialogflow agent. Well be setting up a webhook to handle our triggers and send web requests to the Particle API. Create a new agent or click here to begin. You can name it whatever you like. Select Create a new Google project as well. MOwUud5gfnI2T3kp5mT_VZzzZxjY6f5YsB8Sgm-0ptrSlDxpPbwD2ywfq8-ZS0Qyw=h900.png' alt='Voice Detection Software Lie Detector' title='Voice Detection Software Lie Detector' />In the Settings section click on the gear icon next to your project name and go to Export and Import. Select Import from zip and upload the zip provided. Youve now imported the basic app shell take a look at the new led. Control intent viewable from the Intents tab. You can have a look there now if youre curious, or continue on to fill out the apps details. Head over to the Integrations tab, and click Google Assistant. Scroll down to the bottom, and click Update Draft. Go back to the General tab in Settings, and scroll down to the Google Project details. Click on the Google Cloud link and check out the project thats been created for you. Feel free to customize this however you like. Click on the Actions on Google link, and go to 2 App information. Click Add, and fill in the details of your project there. Add some sample invocations, as well as a pronunciation of your Assistant apps name. Fill out the other required fields description, picture, contact email, etc. Scroll down to the bottom, and click Test Draft. You can now test out the conversational side of the app in one of two ways You can also try talking to your application on any Assistant enabled device that youre signed into. However, if youre following along step by step, it wont turn any lights on yet we still have to set up the web service and the Photon app. Onward then Google Cloud. Depending on which hosting environment you want to use, cd into either. README. IMPORTANT Regardless of what hostingdeployment method you choose, make sure you return to the Dialogflow panel and go into the Fulfillment tab to update the URL field. Also, check that the DOMAINS field is set to Enable webhook for all domains. Without doing these things, Dialogflow wont be able to talk to your new webhook. Particle. Make sure the Photon is correctly set up and connected. If its not configured yet, follow the steps in the Particle docs. You can upload your code to your photon via the Particle web editor, the Particle Desktop IDE based on Atom, or the Particle command line tools. Well be using the CLI for this example, which you can install thusly sudo npm i particle cli g. To deploy via the command line, first make sure youre logged in particle login. You can find out the ID of your device by running particle list. Then upload the code using that ID particle flash YOUR DEVICE ID particle photonparticle blink demo. The Photon should blink rapidly while the upload is in process, and when its done and calmly pulsing cyan, youre ready to go. Note Make sure you generate a Particle access token, and add that token along with your Photons device id to your config. You can make sure it all works by running the following from your terminal curl https api. YOUR DEVICE IDled d accesstokenYOUR ACCESS TOKEN d ledon. If everything is configured properly, you should see something like the following. YOUR DEVICE ID. You should see the Photons light come on along with an LED on the breadboard, if youve wired one up Doing the same with ledoff will return a 0 instead of a 1, and will you guessed it turn the light off. Note If you ever see a returnvalue 1, thats an error message something has gone wrong somewhere. Putting it all together. Once youve uploaded all the code and each service is configured, its time to give it all a try You can confirm that everything went to plan by going to either your Assistant enabled device or the Google Actions simulator, asking to talk to your app talk to APP NAME, and typing turn the light on. If all goes well, your LED should turn onFurther reading. This application is just a taste of whats possible how far you take this framework is up to you Here are a few resources to help you continue on your journey. Voice Over IP Per Call Bandwidth Consumption. Introduction. This document explains voice codec bandwidth calculations and features to modify or conserve bandwidth when Voice over IP Vo. IP is used. One of the most important factors to consider when you build packet voice networks is proper capacity planning. Within capacity planning, bandwidth calculation is an important factor to consider when you design and troubleshoot packet voice networks for good voice quality. Note As a complement to this document, you can use the TAC Voice Bandwidth Codec Calculator registered customers only tool. This tool provides information on how to calculate the bandwidth required for packet voice calls. Vo. IP  Per Call Bandwidth. These protocol header assumptions are used for the calculations 4. IP 2. 0 bytes User Datagram Protocol UDP 8 bytes Real Time Transport Protocol RTP 1. Compressed Real Time Protocol c. RTP reduces the IPUDPRTP headers to 2 or 4 bytes c. RTP is not available over Ethernet. Multilink Point to Point Protocol MP or Frame Relay Forum FRF. Layer 2 L2 header. MP and Frame Relay frames. Ethernet L2 headers, which include 4 bytes of Frame Check Sequence FCS or Cyclic Redundancy Check CRC. Note This table only contains calculations for the default voice payload sizes in Cisco Call. Manager or Cisco IOS Software H. For additional calculations, which includes different voice payload sizes and other protocols, such as Voice over Frame Relay Vo. FR and Voice over ATM Vo. ATM, use the TAC Voice Bandwidth Codec Calculator registered customers only tool. Codec Information. Bandwidth Calculations. Codec Bit Rate KbpsCodec Sample Size BytesCodec Sample Interval msMean Opinion Score MOSVoice Payload Size BytesVoice Payload Size msPackets Per Second PPSBandwidth MP or FRF. KbpsBandwidth wc. RTP MP or FRF. 1. KbpsBandwidth Ethernet KbpsG. Kbps8. 0 Bytes. 10 ms. Bytes. 20 ms. 50. Kbps. 67. 6 Kbps. Kbps. G. 7. 29 8 Kbps1. Bytes. 10 ms. 3. 9. Bytes. 20 ms. 50. Kbps. 11. 6 Kbps. Kbps. G. 7. 23. 1 6. Kbps2. 4 Bytes. 30 ms. Bytes. 30 ms. 33. Kbps. 8. 8 Kbps. 21. Kbps. G. 7. 23. 1 5. Kbps2. 0 Bytes. 30 ms. Bytes. 30 ms. 33. Kbps. 7. 7 Kbps. 20. Kbps. G. 7. 26 3. Kbps2. 0 Bytes. 5 ms. Bytes. 20 ms. 50. Kbps. 35. 6 Kbps. Kbps. G. 7. 26 2. Kbps1. 5 Bytes. 5 ms. Kbps. 27. 6 Kbps. Kbps. G. 7. 28 1. Kbps1. 0 Bytes. 5 ms. Bytes. 30 ms. 33. Kbps. 18. 4 Kbps. Kbps. G7. 226. 4k 6. Kbps8. 0 Bytes. 10 ms. Bytes. 20 ms. 50. Kbps. 67. 6 Kbps. Kbpsilbcmode2. 0 1. Kbps3. 8 Bytes. 20 ms. NA3. 8 Bytes. 20 ms. Kbps. 18. 8 Kbps. Kbpsilbcmode3. 0 1. Kbps5. 0 Bytes. 30 ms. NA5. 0 Bytes. 30 ms. Kbps. 15. 7. 3 Kbps. Kbps. Explanation of Terms. Chutti Tv All Programs List. Codec Bit Rate KbpsBased on the codec, this is the number of bits per second that need to be transmitted in order to deliver a voice call. Codec Sample Size BytesBased on the codec, this is the number of bytes captured by the Digital Signal Processor DSP at each codec sample interval. For example, the G. Kbps. codec bit rate codec sample size codec sample interval. Codec Sample Interval msThis is the sample interval at which the codec operates. For example, the G. Kbps. codec bit rate codec sample size codec sample interval. Mean Opinion Score MOSMOS is a system used to grade the voice quality of telephone connections. With MOS, a wide range of listeners judge the quality of a voice sample on a scale of one bad to five excellent. The scores are averaged in order to provide the MOS for the codec. Voice Payload Size BytesThe voice payload size represents the number of bytes or bits that are filled into a packet. The voice payload size must be a multiple of the codec sample size. For example, G. 7. Voice Payload Size msThe voice payload size can also be represented in terms of the codec samples. For example, a G. Kbps PPSPPS represents the number of packets that need to be transmitted every second in order to deliver the codec bit rate. For example, for a G. Kbps 1. 60 bits per packet Bandwidth Calculation Formulas. These calculations are used Total packet size L2 header MP or FRF. Ethernet IPUDPRTP header voice payload sizePPS codec bit rate voice payload sizeBandwidth total packet size PPSSample Calculation. For example, the required bandwidth for a G. Kbps codec bit rate with c. RTP, MP, and the default 2. Total packet size bytes MP header of 6 bytes compressed IPUDPRTP header of 2 bytes voice payload of 2. Total packet size bits 2. PPS 8 Kbps codec bit rate 1. Note 1. 60 bits 2. Bandwidth per call voice packet size 2. Kbps. Configure Voice Payload Sizes in Cisco Call. Manager and Cisco IOS Gateways. The voice payload size per packet can be configured in Cisco Call. Manager and Cisco IOS gateways. Note If the Cisco IOS gateway is configured in Cisco Call. Manager as a Media Gateway Control Protocol MGCP gateway, all the codec information codec type, payload size, voice activity detection, and so on is controlled by Cisco Call. Manager. In Cisco Call. Manager, the voice payload size per packet is configurable on a systemwide basis. This attribute is set in Cisco Call. Manager Administration Service Service Parameters selectserver Cisco Call. Manager with these three service parameters Preferred. G7. 11. Millisecond. Packet. Size  Default setting 2. Available settings 1. Preferred. G7. 29. Millisecond. Packet. Size Default setting 2. Available settings 1. Preferred. G7. 23. Millisecond. Packet. Size Default setting 3. Available settings 3. In Cisco Call. Manager, the voice payload size is configured in terms of milliseconds ms samples. Based on the codec, this table maps some ms samples to the actual payload size in bytes. Codec. Voice Payload Size msVoice Payload Size BytesComments. G. 7. 11. 20 ms default1. Bytes. Notice that the codec bit rate is always maintained. For example G. 7. Kbps. 30 ms. 24. 0 Bytes. G. 7. 29. 20 ms default2. Bytes. 30 ms. 30 Bytes. G. 7. 23. 30 ms defaultIn Cisco IOS gateways, a feature is added in Cisco IOS Software Release 1. T that allows the voice payload size in bytes for Vo. IP packets to be changed through the CLI. The new command syntax follows Cisco Routerconfig dial peercodec g. Each codec sample produces 1. Valid sizes are. 1. Any other value within the range will be rounded down to nearest valid size. Choose a voice payload size from the list above. Impact of a Change to Voice Payload Sizes. The number of codec samples per packet is another factor that determines the bandwidth and delay of a Vo. IP call. The codec defines the size of the sample, but the total number of samples placed in a packet affects how many packets are sent per second. When you increase the voice payload size the Vo. IP bandwidth reduces and the overall delay increases. This example illustrates this G. IPUDPRTP headers 2. Kbps. G. 7. 29 call with voice payload size of 4. IPUDPRTP headers 4. Kbps. Notes L2 headers are not considered in this calculation. The calculations show that while the payload size is doubled, the number of packets per second required is subsequently cut in half. As defined in the International Telecommunication Union Telecommunication Standardization Sector ITU T G. For a private network, 2. Voice Activity Detection. With circuit switched voice networks, all voice calls use 6. Kbps fixed bandwidth links regardless of how much of the conversation is speech and how much is silence.