Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.
Fun, engaging games to boost memory, math fluency, typing speed, and English skills—perfect for learners of all ages.
Enroll to start learning
You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.
Listen to a student-teacher conversation explaining the topic in a relatable way.
Today, we will delve into how to capture audio using MATLAB. To start, can anyone tell me what the `audiorecorder` function does?
Is it used to record audio data?
Exactly, it records audio data! We initialize it with parameters such as sample rate, bit depth, and number of channels. Why do you think these parameters are important?
They affect the quality and clarity of the audio, right?
Correct! A higher sample rate captures more detail. Let's look at our example: `recObj = audiorecorder(44100, 16, 1);`. What do these numbers mean?
44100 is the sample rate, 16 is the bit depth, and 1 means it's mono?
Spot on! Remember this as 'SBC' for Sample rate, Bit depth, Channels. Now, let’s move on to how we actually record audio.
We now understand how to set up our audio recorder. To start recording, we use `recordblocking(recObj, 5);`. What do you think this command does?
It records audio for 5 seconds while preventing other functions from running?
Correct! It's a blocking command that ensures we capture audio for a specified duration. Once we've recorded, we want to retrieve that data using `myRecording = getaudiodata(recObj);`. What does this do?
It pulls the recorded data into a variable so we can use it in our program?
Absolutely right! Let's summarize: we initialized our recorder, recorded audio, and extracted the data. Why might we want to analyze this recorded audio?
To process it for effects or filtering?
Exactly! Great work today, everyone.
Read a summary of the section's main ideas. Choose from Basic, Medium, or Detailed.
In this section, we explore how to utilize MATLAB's audiorecorder function for audio input. We demonstrate the process of recording audio data into MATLAB for further processing, elucidating the importance of audio signal acquisition in real-time systems.
In the realm of real-time signal processing, capturing audio signals is a vital step. This section, 13.4.1, delves into using MATLAB's audiorecorder
function to facilitate audio input. The provided code example:
Demonstrates the procedure for initializing an audio recorder object with a sampling rate of 44100 Hz, a bit depth of 16 bits, and a single channel for mono recording. The function recordblocking
pauses execution for a specified duration—in this case, 5 seconds—while capturing audio. After recording, getaudiodata
extracts the audio data from the recording object, making it available for further analysis or processing. Understanding this process is crucial for anyone looking to handle audio signals within MATLAB for applications like audio processing, transmission, and analysis.
Dive deep into the subject with an immersive audiobook experience.
Signup and Enroll to the course for listening the Audio Book
recObj = audiorecorder(44100, 16, 1);
In this first step, we create an audio recorder object using MATLAB's audiorecorder
function. The parameters used indicate that we are recording audio at a sample rate of 44100 Hz, with a bit depth of 16 bits, and in mono (1 channel). This setup means we can capture high-quality audio suitable for playback and processing.
Think of the audio recorder as a high-quality microphone that can capture sounds in a detailed way, similar to how a high-resolution camera captures clear images. Just as you need to choose the right settings on a camera for the best photo, the parameters in the audiorecorder set the stage for high-quality audio capture.
Signup and Enroll to the course for listening the Audio Book
recordblocking(recObj, 5);
In this next step, we use the recordblocking
function to record audio. The recObj
is the audio recording object we just created, and the function will block other commands while recording for 5 seconds. After 5 seconds, the recording will stop automatically.
Imagine you are at a concert and you press 'record' on your voice recorder. During the 5 seconds of recording, you cannot do anything else—just like how the recordblocking
function makes MATLAB wait until the recording is complete. When it's done, you'll have a clear audio clip just like you would from your concert recording.
Signup and Enroll to the course for listening the Audio Book
myRecording = getaudiodata(recObj);
After the recording has finished, we retrieve the actual audio data captured by our recObj
. The getaudiodata
function converts the recorded audio into an array called myRecording
, allowing us to work with the audio data in MATLAB. This array contains numerical values representing the amplitude of the audio signal over time.
Think of this step like transferring music from a cassette tape to your computer. After recording, you need to extract or 'rip' the data into a format that you can use or edit later, similar to how the array myRecording
allows you to manipulate the audio in your MATLAB environment.
Learn essential terms and foundational ideas that form the basis of the topic.
Key Concepts
Audio Recording: The process of capturing sound waves as digital signals using MATLAB's audiorecorder function.
Blocking Command: Techniques in MATLAB like recordblocking that pause program execution until a recording is complete.
Data Retrieval: The significance of using getaudiodata to access recorded audio data for processing.
See how the concepts apply in real-world scenarios to understand their practical implications.
Using the audiorecorder function, a user can set the sample rate and record audio data for specific analysis.
After recording audio for 5 seconds with a specific configuration, users can play back or process the recorded audio data.
Use mnemonics, acronyms, or visual cues to help remember key information more easily.
To record sound in MATLAB, just give it a try, use audiorecorder as your guide.
Imagine a music producer in a studio. They set a device (audiorecorder) to capture every note precisely before mixing it into a beautiful song.
Remember 'SBC' for Sample, Bit depth, Channels to keep track of how to set up your audiorecorder.
Review key concepts with flashcards.
Review the Definitions for terms.
Term: audiorecorder
Definition:
A MATLAB function used for recording audio in real-time, allowing control over sample rate, bit depth, and number of channels.
Term: recordblocking
Definition:
A function that records audio for a specified amount of time, blocking further execution until the recording is complete.
Term: getaudiodata
Definition:
A function that retrieves recorded audio data from an audiorecorder object for further processing.