Speech recognition service for voice search is already embedded in Loklak. Now the idea is to use this service and create a new separate component for voice recognition with an interactive and user friendly interface. This blog will cover every single portion of an Angular’s redux based component from writing actions and reducers to the use of created component in other required components.
Creating Action and Reducer Function
The main idea to create an Action is to control the flow of use of Speech Component in Loklak Search. The Speech Component will be called on and off based on this Action.
Here, the first step is to create speech.ts file in actions folder with the following code:
In the above segment, only one action (MODE_CHANGE) has been created which is like a boolean value which is being returned as true or false i.e. whether the speech component is currently in use or not. This is a basic format to be followed in creating an Action which is being followed in Loklak Search. The next step would be to create speech.ts file in reducers folder with the following code:
It follows the format of reducer functions created in Loklak Search. Here, the main key point is the state creation and type of value it is storing i.e. State is containing a speechStatus of type boolean. Defining an initial state with speechStatus value false (Considering initially the Speech Component will not be in use). The reducer function a new state by toggling the input state based on the type of Action created above and it returns the input state by default. At last wrapping the state as a function and returning the state’s speechStatus value.
Third and last step in this section would be to create a selector for the above reducer function in the root reducer index file.
Import and add speech from speech reducer file into the general state in root reducer file. And at last export the created selector function for speech reducer.
Creating Speech Component
Now comes the main part to create and define the functioning of Speech Component. For creating the basic Speech Component, following command is used:
It will automatically create and provide Speech Component in app.module.ts. The working structure of Speech Component has been followed as of Google’s voice recognition feature for voice searching. Rather than providing description of each single line of code the following portion will cover the main code responsible for the functioning of Speech Component.
Importing and defining speech service in constructor:
When the Speech Component is called, speechRecognition() method will start recording speech (It will use the record() method from speech service to record the user voice).
For fluctuating border height and color of voice search icon, a resettimer() method is created.
The randomize() method provides a random number between min and max value.
To put on check and display status as message on things like whether microphone is working, or user has spoken something, or if the speech is being recorded, based on the time elapsed in calling of speech component and actual voice recording, the following portion of code is written in ngOnInit() method.
The logic can be understood as if the elapsed time is 1 sec, it means it is listening to the speaker’s voice. And if the elapsed time is 4 sec, it means there is something wrong and user will be asked to check for the microphone and volume levels. At last if it tends to 6 seconds, then the Speech Component will be called off with the dispatched Action as false which is defined above (That means it is no longer in use).
Embed Speech Component in main App Component
Now comes the last part to use the created featured component in the required place. Code below describes embedding Speech Component in App Component.
Import SpeechService and required modules.
hidespeech will be used to store the current status of Speech Component (whether its in use or not), and completeQuery$ and searchData store the voice recorded in form Observable and String. completeQuery$ is optional (If the Speech Component is unable to track voice of speaker by any means, then it will not contain any value and hence searchData will be empty).
Creating speech parameter in constructor and store the current status of speech and store it into hidespeech. Based on the subscribed value of hidespeech, speech service’s stoprecord() will be called (To stop recording when the speech recognition completes). After recording stops, store the whole query in completeQuery$.
Add the Speech Component in app.component.html. Now the main logic of calling Speech Component will be based on the subscribed observable value of hidespeech (If false then call Speech Component else not).
Using Speech Component in Home and FeedHeader Component
Import Speech Service and speech Action created above, and create hidespeech to store the current status of Speech Component.
Create speech parameter of type SpeechService and store the current status of Speech Component in hidespeech. Dispatch speechactions.SearchAction (payload as true) for inferring that the Speech Component is currently in use.
How to use the Speech Component?
Goto Loklak and click on Voice Input Icon. It will popup a screen as below.
Now, speak something to search. E.g. Google, the screen will turn into something like below with the spelled value displayed on screen.
If something goes wrong (Microphone did not work, low volume levels or unrecognisable voice), then screen will show something like:
On successful recognition of speech, the query will be set and the results will be shown as
Similar process is being followed on results page to make a search query using voice.