측정 및 공간 음향
Audio Toolbox™를 사용하면 테스트 가진 신호를 생성하고, 임펄스 응답을 추정하고, 산업 표준 메트릭을 계산하는 기능을 사용하여 오디오 시스템에서 측정을 수행할 수 있습니다.
Audio Toolbox 기능을 공간 오디오 신호를 다루는 데 사용할 수도 있습니다. SOFA 파일에 저장된 머리 전달 함수(HRTF: Head-Related Transfer Function)를 읽고 HRTF를 interpolateHRTF로 보간합니다. acousticRoomResponse를 사용하여 가상 실내 공간에 대한 공간 임펄스 응답을 합성합니다. ambisonicEncoderMatrix와 ambisonicDecoderMatrix를 사용해 앰비소닉으로 3차원 오디오를 인코딩하고 디코딩합니다.
앱
| 임펄스 응답 측정기 | Measure impulse response of audio system |
함수
속성
| Meter Properties | Audio Meter UI component (R2023b 이후) |
블록
| Loudness Meter | Standard-compliant loudness measurements |
도움말 항목
- Measure and Manage Impulse Responses
Capture and analyze impulse response (IR) measurements by using the Impulse Response Measurer.
- Create an App to Play and Visualize Audio Files
Create an app in App Designer to play and visualize audio files.
- Surround Sound Matrix Encoding and Decoding
This example shows how to generate a stereo signal from a multichannel audio signal using matrix encoding, and how to recover the original channels from the stereo mix using matrix decoding.
- Audio Device Test Stimuli
Exercise a nonlinear system with common audio device stimuli and compare the advantages and disadvantages of the different stimuli.
- Analyze Ambisonic Decoders
Derive objective metrics to analyze the performance of an ambisonic decoder.
- Ambisonic Spatial Transformations
Apply spatial transformations to an ambisonic signal.
추천 예제
Visualize Ambisonic Sound Field
Visualize the directional information in an ambisonic signal.
Read, Analyze, and Process SOFA Files
Load a SOFA file, analyze the HRTF measurements, and use them to spatialize an audio signal.
Impulse Response Measurement Using a NI USB-4431 Device
Measure an impulse response using a National Instruments (NI) USB-4431 sound and vibration device.
Room Impulse Response Simulation with Stochastic Ray Tracing
Use stochastic ray tracing to simulate the impulse response of a simple room.
Room Impulse Response Simulation with the Image-Source Method and HRTF Interpolation
Simulate the impulse response of a "shoebox" (cuboid) empty room.
옥타브 대역 및 분수 옥타브 대역 필터
필터 뱅크 및 옥타브 SPL 미터를 포함하여 옥타브 대역 및 분수 옥타브 대역 필터를 설계합니다.
Audio Weighting Filters
Obtain A-weighting and C-weighting filters the weightingFilter System object™ in the Audio Toolbox™.
옥타브 주파수 대역의 음압 측정
이 예제에서는 옥타브 주파수 대역의 음압 레벨을 측정하는 방법을 보여줍니다. 사용자 인터페이스(UI)를 사용하면 측정값이 표시되는 동안 다양한 파라미터를 시험해 볼 수 있습니다.
Active Noise Control with Simulink Real-Time
Design a real-time active noise control system using a Speedgoat® Simulink® Real-Time™ target.
Ambisonic Plugin Generation
This examples shows how to create ambisonic plugins using MATLAB® higher order ambisonic (HOA) demo functions. Ambisonics is a spatial audio technique which represents a three-dimensional sound field using spherical harmonics. This example contains an encoder plugin, a function to generate custom encoder plugins, a decoder plugin, and a function to generate custom decoder plugins. The customization of plugin generation enables a user to specify various ambisonic orders and various device lists for a given ambisonic configuration.
Ambisonic Binaural Decoding
Decode ambisonic audio into binaural audio using virtual loudspeakers. A virtual loudspeaker is a sound source positioned on the surface of a sphere, with the listener located at the center of the sphere. Each virtual loudspeaker has a pair of Head-Related Transfer Functions (HRTF) associated with it: one for the left ear and one for the right ear. The virtual loudspeaker locations along with the ambisonic order are used to calculate the ambisonic decoder matrix. The output of the decoder is filtered by the HRTFs corresponding to the virtual loudspeaker position. The signals from the left HRTFs are summed together and fed to the left ear. The signals from the right HRTFs are summed together and fed to the right ear. A block diagram of the audio signal flow is shown here.
Acoustic Beamforming Using a Microphone Array
Illustrates microphone array beamforming to extract desired speech signals in an interference-dominant, noisy environment. Such operations are useful to enhance speech signal quality for perception or further processing. For example, the noisy environment can be a trading room, and the microphone array can be mounted on the monitor of a trading computer. If the trading computer must accept speech commands from a trader, the beamformer operation is crucial to enhance the received speech quality and achieve the designed speech recognition accuracy.
Multicore Simulation of Acoustic Beamforming Using a Microphone Array
Beamform signals received by an array of microphones to extract a desired speech signal in a noisy environment. It uses the dataflow domain in Simulink® to partition the data-driven portions of the system into multiple threads and thereby improving the performance of the simulation by executing it on your desktop's multiple cores.
Live Direction of Arrival Estimation with a Linear Microphone Array
Acquire and process live multichannel audio. It also presents a simple algorithm for estimating the Direction Of Arrival (DOA) of a sound source using multiple microphone pairs within a linear array.
Binaural Audio Rendering Using Head Tracking
Track head orientation by fusing data received from an IMU, and then control the direction of arrival of a sound source by applying head-related transfer functions (HRTF).
Measure Impulse Response of an Audio System
The impulse response (IR) is an important tool for characterizing or representing a linear time-invariant (LTI) system. The Impulse Response Measurer enables you to measure and capture the impulse response of audio systems, including:
Acoustic Echo Cancellation (AEC)
Apply adaptive filters to acoustic echo cancellation (AEC).
