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      1 page.title=Measuring Audio Latency
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     19 <div id="qv-wrapper">
     20   <div id="qv">
     21     <h2>In this document</h2>
     22     <ol id="auto-toc">
     23     </ol>
     24   </div>
     25 </div>
     26 
     27 <p>
     28   This page describes common methods for measuring input and output latency.
     29 </p>
     30 
     31 
     32 
     33 <h2 id="measuringOutput">Measuring Output Latency</h2>
     34 
     35 <p>
     36   There are several techniques available to measure output latency,
     37   with varying degrees of accuracy and ease of running, described below. Also
     38 see the <a href="testing_circuit.html">Testing circuit</a> for an example test environment.
     39 </p>
     40 
     41 <h3 id="ledTest">LED and oscilloscope test</h3>
     42 <p>
     43 This test measures latency in relation to the device's LED indicator.
     44 If your production device does not have an LED, you can install the
     45   LED on a prototype form factor device. For even better accuracy
     46   on prototype devices with exposed circuity, connect one
     47   oscilloscope probe to the LED directly to bypass the light
     48   sensor latency.
     49   </p>
     50 
     51 <p>
     52   If you cannot install an LED on either your production or prototype device,
     53   try the following workarounds:
     54 </p>
     55 
     56 <ul>
     57   <li>Use a General Purpose Input/Output (GPIO) pin for the same purpose.</li>
     58   <li>Use JTAG or another debugging port.</li>
     59   <li>Use the screen backlight. This might be risky as the
     60   backlight may have a non-negligible latency, and can contribute to
     61   an inaccurate latency reading.
     62   </li>
     63 </ul>
     64 
     65 <p>To conduct this test:</p>
     66 
     67 <ol>
     68   <li>Run an app that periodically pulses the LED at
     69   the same time it outputs audio.
     70   <p class="note"><strong>Note:</strong> To get useful results, it is crucial to use the correct
     71   APIs in the test app so that you're exercising the fast audio output path.
     72   See <a href="latency_design.html">Design For Reduced Latency</a> for
     73   background.</p>
     74   </li>
     75   <li>Place a light sensor next to the LED.</li>
     76   <li>Connect the probes of a dual-channel oscilloscope to both the wired headphone
     77   jack (line output) and light sensor.</li>
     78   <li>Use the oscilloscope to measure
     79   the time difference between observing the line output signal versus the light
     80   sensor signal.</li>
     81 </ol>
     82 
     83   <p>The difference in time is the approximate audio output latency,
     84   assuming that the LED latency and light sensor latency are both zero.
     85   Typically, the LED and light sensor each have a relatively low latency
     86   on the order of one millisecond or less, which is sufficiently low enough
     87   to ignore.</p>
     88 
     89 <h2 id="measuringRoundTrip">Measuring Round-Trip Latency</h2>
     90 
     91 <p>
     92   <a href="http://en.wikipedia.org/wiki/Round-trip_delay_time">Round-trip latency</a>
     93   is the sum of output latency and input latency.
     94 </p>
     95 
     96 <h3 id="larsenTest">Larsen test</h3>
     97 <p>
     98   One of the easiest latency tests is an audio feedback
     99   (Larsen effect) test. This provides a crude measure of combined output
    100   and input latency by timing an impulse response loop. This test is not very useful
    101   for detailed analysis
    102   by itself because of the nature of the test, but it can be useful for
    103   calibrating other tests, and for establishing an upper bound.</p>
    104 
    105 <p>To conduct this test:</p>
    106 <ol>
    107   <li>Run an app that captures audio from the microphone and immediately plays the
    108   captured data back over the speaker.</li>
    109   <li>Create a sound externally,
    110   such as tapping a pencil by the microphone. This noise generates a feedback loop.
    111   Alternatively, one can inject an impulse into the loop using software.</li>
    112   <li>Measure the time between feedback pulses to get the sum of the output latency, input latency, and application overhead.</li>
    113 </ol>
    114 
    115   <p>This method does not break down the
    116   component times, which is important when the output latency
    117   and input latency are independent. So this method is not recommended for measuring
    118   precise output latency or input latency values in isolation, but might be useful
    119   for establishing rough estimates.</p>
    120 
    121   <p>
    122   Output latency to on-device speaker can be significantly larger than
    123   output latency to headset connector.  This is due to speaker correction and protection.
    124   </p>
    125 
    126 <p>
    127 We have published an example implementation at
    128 <a href="https://android.googlesource.com/platform/frameworks/wilhelm/+/master/tests/examples/slesTestFeedback.cpp">slesTestFeedback.cpp</a>.
    129 This is a command-line app and is built using the platform build environment;
    130 however it should be straightforward to adopt the code for other environments.
    131 You will also need the <a href="avoiding_pi.html#nonBlockingAlgorithms">non-blocking</a> FIFO code
    132 located in the <code>audio_utils</code> library.
    133 </p>
    134 
    135 <h3 id="loopback">Audio Loopback Dongle</h3>
    136 
    137 <p>
    138   The <a href="loopback.html">Dr. Rick O'Rang audio loopback dongle</a> is handy for
    139   measuring round-trip latency over the headset connector.
    140   The image below demonstrates the result of injecting an impulse
    141   into the loop once, and then allowing the feedback loop to oscillate.
    142   The period of the oscillations is the round-trip latency.
    143   The specific device, software release, and
    144   test conditions are not specified here.  The results shown
    145   should not be extrapolated.
    146 </p>
    147 
    148 <img src="images/round_trip.png" alt="round-trip measurement" id="figure1" />
    149 <p class="img-caption">
    150   <strong>Figure 1.</strong> Round-trip measurement
    151 </p>
    152 
    153 <p>You may need to remove the USB cable to reduce noise,
    154 and adjust the volume level to get a stable oscillation.
    155 </p>
    156 
    157 <h2 id="measuringInput">Measuring Input Latency</h2>
    158 
    159 <p>
    160   Input latency is more difficult to measure than output latency. The following
    161   tests might help.
    162 </p>
    163 
    164 <p>
    165 One approach is to first determine the output latency
    166   using the LED and oscilloscope method and then use
    167   the audio feedback (Larsen) test to determine the sum of output
    168   latency and input latency. The difference between these two
    169   measurements is the input latency.
    170 </p>
    171 
    172 <p>
    173   Another technique is to use a GPIO pin on a prototype device.
    174   Externally, pulse a GPIO input at the same time that you present
    175   an audio signal to the device.  Run an app that compares the
    176   difference in arrival times of the GPIO signal and audio data.
    177 </p>
    178 
    179 <h2 id="reducing">Reducing Latency</h2>
    180 
    181 <p>To achieve low audio latency, pay special attention throughout the
    182 system to scheduling, interrupt handling, power management, and device
    183 driver design. Your goal is to prevent any part of the platform from
    184 blocking a <code>SCHED_FIFO</code> audio thread for more than a couple
    185 of milliseconds. By adopting such a systematic approach, you can reduce
    186 audio latency and get the side benefit of more predictable performance
    187 overall.
    188 </p>
    189 
    190 
    191  <p>
    192   Audio underruns, when they do occur, are often detectable only under certain
    193   conditions or only at the transitions. Try stressing the system by launching
    194   new apps and scrolling quickly through various displays. But be aware
    195   that some test conditions are so stressful as to be beyond the design
    196   goals. For example, taking a bugreport puts such enormous load on the
    197   system that it may be acceptable to have an underrun in that case.
    198 </p>
    199 
    200 <p>
    201   When testing for underruns:
    202 </p>
    203   <ul>
    204   <li>Configure any DSP after the app processor so that it adds
    205   minimal latency.</li>
    206   <li>Run tests under different conditions
    207   such as having the screen on or off, USB plugged in or unplugged,
    208   WiFi on or off, Bluetooth on or off, and telephony and data radios
    209   on or off.</li>
    210   <li>Select relatively quiet music that you're very familiar with, and which is easy
    211   to hear underruns in.</li>
    212   <li>Use wired headphones for extra sensitivity.</li>
    213   <li>Give yourself breaks so that you don't experience "ear fatigue."</li>
    214   </ul>
    215 
    216 <p>
    217   Once you find the underlying causes of underruns, reduce
    218   the buffer counts and sizes to take advantage of this.
    219   The eager approach of reducing buffer counts and sizes <i>before</i>
    220   analyzing underruns and fixing the causes of underruns only
    221   results in frustration.
    222 </p>
    223 
    224 <h3 id="tools">Tools</h3>
    225 <p>
    226   <code>systrace</code> is an excellent general-purpose tool
    227   for diagnosing system-level performance glitches.
    228 </p>
    229 
    230 <p>
    231   The output of <code>dumpsys media.audio_flinger</code> also contains a
    232   useful section called "simple moving statistics." This has a summary
    233   of the variability of elapsed times for each audio mix and I/O cycle.
    234   Ideally, all the time measurements should be about equal to the mean or
    235   nominal cycle time. If you see a very low minimum or high maximum, this is an
    236   indication of a problem, likely a high scheduling latency or interrupt
    237   disable time. The <i>tail</i> part of the output is especially helpful,
    238   as it highlights the variability beyond +/- 3 standard deviations.
    239 </p>
    240