Here is a sneak peek into principles and device implementation to detect audio signals and distinguish noise and no-signals from true audio signals.
Sound can be represented with both analog or digital audio signals. Analog audio signals use electrical voltage levels. Different types of transducers convert sound to electrical signals and electrical signals to sound. The audio signal frequency range is roughly 20 Hz to 20,000 Hz.
Sources such as microphones and loudspeakers produce or receive audio signals, but it’s also possible that the signal is white noise or single-tone noise. These can be caused by issues in electrical circuits and have a frequency which falls within the audio frequency range. There may also be no signal at all. These possibilities must be considered when detecting audio signals in order to distinguish noise and no-signals from true audio signals such a human speech, music, and natural sound.
Principles of audio signal detection
The human ear can hear frequencies in the approximate range of 20 Hz to 20,000 Hz. This range can include single tones such as transformer hum or white noise from radio systems. That’s hardly to say that these sounds are desirable in audio systems; a high level of such sounds can damage hearing. Human speech, music, and natural sounds have different frequencies that vary continuously. Therefore, the audio detector should register the frequency variations and pick useful audio signals based on these variations.
Figure 1 This is how audio signal detection works. Source: Dialog Semiconductor
The basic theory behind audio signal detection is shown in Figure 1. The system design considers three reference frequencies: 100 Hz, 500 Hz and 3 kHz. For a given signal, the system counts the number of times the frequency of the signal crosses the reference frequencies in a certain period of time. Only crosses from low to high frequencies are considered; for instance, 50 Hz to 150 Hz will count for 100 Hz and 150 Hz to 50 Hz will not. The design considers the signal as audio if it crosses any of the two reference frequencies a minimum number of times, as specified in Table 1.
Table 1 Minimum frequency crossings to detect audio signals; these numbers can be adjusted according to user needs through I2C. Source: Dialog Semiconductor
There are three sample signals shown in Figure 1:
Note that speech or music can have pauses. There is a famous composition by John Milton Cage Jr. called 4’33” which is performed with the absence of any sound. Naturally, the design can’t determine such a long pause as an audio, though a pause less than 5 seconds will be ignored by the detecting algorithm.
Finally, the design should cut inaudible frequencies—less than 20 Hz and more than 20 kHz. We will use these principles as the basis for designing an audio signal detector while employing the SLG47502 programmable mixed-signal chip.
Detection device implementation
The architecture of this device is shown in Figure 2 and contains the following building blocks:
Figure 2 The device architecture diagram highlights the major building blocks. Source: Dialog Semiconductor
Analog part: The source of the audio signal should be connected to PIN9 (AUDIO_IN-) and PIN10 (AUDIO_IN+). PIN10 (AUDIO_IN+) is an input of the analog comparator (ACMP). PIN9 (AUDIO_IN-) is a reference voltage (500 mV). Taking into account the fact that the audio signal is an alternating signal and the IC is single voltage-supplied, the design biases the input audio signal by 500 mV to avoid negative voltage. Afterward, the input audio signal goes to ACMP0H (Figure 3). ACMP0H quantizes the audio signal, which is handled with the remaining part of the design.
Figure 3 The analog part represents the source of an audio signal comprising analog comparator and reference voltage pins. Source: Dialog Semiconductor
High cut filter: A delay (8-bit CNT7/DLY7 (MF7)) is used to filter out frequencies higher than 20 kHz (Figure 4). Design engineers can adjust the period of the frequency by writing Counter Data to 0xA0 <1287:1280> through I2C.
Figure 4 A high cut filter employs a delay to filter out frequencies higher than 20 kHz. Source: Dialog Semiconductor
Low cut filter: The low-cut filter shown in Figure 5 consists of two parts:
Figure 5 A low cut filter comprises a deglitch filter and a frequency detector. Source: Dialog Semiconductor
Frequency crossing counter: This block consists of several parts. The first part is EDGE DET (Figure 6). It converts a double-level audio signal to a series of short pulses which save the frequency of the current audio signal. The next step is detecting the crossing of the current frequency of the audio signal with the reference frequencies, as shown in Table 2 and Figure 7.
Figure 6 The first part of the frequency crossing counter converts a double-level audio signal to a series of short pulses. Source: Dialog Semiconductor
Table 2 During frequency detection, the crossing frequencies can be updated through I2C. Source: Dialog Semiconductor
Counting the number of frequency crossings with the reference frequencies is carried out by the shift registers (SHR7, SHR8, SHR9).
Figure 7 This is how the crossing of the current frequency of the audio signal with the reference frequencies is detected. Source: Dialog Semiconductor
Audio pause: The audio pause block is implemented with the frequency detector, as highlighted in Figure 8 and Table 3. The pause of the audio signal is detected with this block and ignored if it’s less than 5 seconds. The audio signal is considered continuous. If the pause is more than 5 seconds, the design detects this as no audio signal at all.
Figure 8 The audio pause block is implemented with a frequency detector. Source: Dialog Semiconductor
Table 3 Audio pause data; the crossing frequencies can be updated through I2C. Source: Dialog Semiconductor
Measuring time: The design counts the number of crossings of reference frequencies at a specific time which is controlled by a counter, as highlighted in Figure 9 and Table 4. If the frequency crossing counter doesn’t detect an audio signal—including audio pause—during the measuring time, the design identifies it as no-signal.
Figure 9 Measuring time block counts the number of crossings of reference frequencies at a specific time. Source: Dialog Semiconductor
Table 4 The measuring time data relates to the number of crossings of reference frequencies. Source: Dialog Semiconductor
Audio signal presence storage: Audio signal presence storage is carried out by DFF0, as shown in Figure 2. The signal is set using P DLY—mode is both edge delay—and LUT (3-bit LUT13).
No-audio signal: If the design doesn’t detect any audio signal during ~5 minutes, then it sets a high level on PIN11 (FiveMinutesAudioPause). Counting this time is carried out with an LUT (3-bit LUT3) and a delay (CNT6/DLY6). This time is set according to Table 5.
Table 5 Counting no-audio time is carried out according to this information. Source: Dialog Semiconductor
Typical application circuit
Figure 10 The above diagram shows a typical application circuit. Source: Dialog Semiconductor
Channel 1 (yellow, top)—PIN#10 (AUDIO_IN+)
Channel 2 (blue, bottom)—PIN#12 (AudioDetect)
Ground of oscilloscope is connected to PIN9 (AUDIO_IN-)
Figure 11 Waveforms show testing with a record playing (a) and testing with FM radio tuning (b).
Audio detector design
The article describes the design of an audio detector with the programmable mixed-signal chip SLG47502. The proposed method is based on the changing frequency of an audio signal. If the frequency of the input signal changes a certain number of times, then the device identifies this signal as audio. The design makes allowances for pauses in audio. If no audio signal is identified within five minutes, then the device sets a high level on PIN11. If the level of the input signal is relatively low, then this design cannot identify audio.
The complete design file created in the GreenPAK Designer software can be found here.
This article was originally published on Planet Analog.
Viacheslav Kolsun is application engineer at Dialog Semiconductor.