Speech recognition is an important aspect of modern computing. It allows users to interact with computers and other devices using their voice, making it easier to perform various tasks. In this tutorial, we will explore how to work with speech recognition in Go programming.
Before we dive into the code, we need to understand some basic concepts. Speech recognition is the process of converting spoken words into text. The text can then be analyzed and used to perform various actions. In order to perform speech recognition, we need a speech recognition engine. There are many speech recognition engines available, but we will be using the Google Cloud Speech-to-Text API in this tutorial.
To get started, you will need a Google Cloud account and access to the Speech-to-Text API. Once you have access to the API, you will need to obtain a service account key. You can do this by following the instructions provided by Google.
Once you have your service account key, you can begin working with speech recognition in Go. The first step is to install the required packages. We will be using the following packages:
go get -u cloud.google.com/go/speech/apiv1
go get -u google.golang.org/api/option
The cloud.google.com/go/speech/apiv1 package provides access to the Speech-to-Text API, while the google.golang.org/api/option package is used to specify the service account key.
Next, we need to write some code to perform speech recognition. Here is an example:
package main
import (
"context"
"fmt"
"io/ioutil"
"log"
"os"
speech "cloud.google.com/go/speech/apiv1"
"github.com/gordonklaus/portaudio"
speechpb "google.golang.org/genproto/googleapis/cloud/speech/v1"
"google.golang.org/api/option"
)
func main() {
ctx := context.Background()
// Read audio file into memory
audioFile := "test.wav"
audio, err := ioutil.ReadFile(audioFile)
if err != nil {
log.Fatalf("Failed to read file: %v", err)
}
// Initialize PortAudio
portaudio.Initialize()
defer portaudio.Terminate()
// Open default microphone device
stream, err := portaudio.OpenDefaultStream(1, 0, 44100, len(audio))
if err != nil {
log.Fatalf("Failed to open microphone: %v", err)
}
defer stream.Close()
// Start audio stream
if err := stream.Start(); err != nil {
log.Fatalf("Failed to start stream: %v", err)
}
// Record audio from microphone
var samples []int16
for i := 0; i < len(audio); i += 2 {
var sample int16
stream.Read([]int16{&sample})
samples = append(samples, sample)
}
// Stop audio stream
if err := stream.Stop(); err != nil {
log.Fatalf("Failed to stop stream: %v", err)
}
// Create Speech-to-Text client
client, err := speech.NewClient(ctx, option.WithCredentialsFile("service-account-key.json"))
if err != nil {
log.Fatalf("Failed to create client: %v", err)
}
// Configure speech recognition request
req := &speechpb.RecognizeRequest{
Config: &speechpb.RecognitionConfig{
Encoding: speechpb.RecognitionConfig_LINEAR16,
SampleRateHertz: 44100,
LanguageCode: "en-US",
},
Audio: &speechpb.RecognitionAudio{
AudioSource: &speechpb.RecognitionAudio_Content{
Content: samplesToData(audio),
},
},
}
// Perform speech recognition
resp, err := client.Recognize(ctx, req)
if err != nil {
log.Fatalf("Failed to recognize speech: %v", err)
}
// Print recognized text
for _, result := range resp.Results {
for _, alt := range result.Alternatives {
fmt.Printf("Transcript: %v\n", alt.Transcript)
}
}
}
func samplesToData(samples []int16) []byte {
data := make([]byte, len(samples)2)
for i := 0; i < len(samples); i++ {
sample := samples[i]
data[i2] = byte(sample)
data[i*2+1] = byte(sample >> 8)
}
return data
}
Let's go through the code step-by-step.
First, we import the required packages and define a main function.
Next, we read an audio file into memory. In this example, we are using a WAV file named "test.wav". Alternatively, we could record audio directly from a microphone using the PortAudio package.
We then initialize PortAudio and open the default microphone device. We start the audio stream and record audio from the microphone. Finally, we stop the audio stream.
Next, we create a Speech-to-Text client using the service account key. We then configure a speech recognition request, specifying the encoding, sample rate, and language code.
We convert the recorded audio samples to a byte array and set the audio source in the recognition request. We then perform speech recognition using the `Recognize` function of the Speech-to-Text client.
Finally, we print the recognized text to the console.
Note that this is just a basic example of how to work with speech recognition in Go. There are many other options and configurations that can be used, depending on your specific use case.
In conclusion, speech recognition is a powerful tool that can be used to improve the user experience in many applications. By following the steps outlined in this tutorial, you should now have a good understanding of how to work with speech recognition in Go programming.