Vesper VA1210 Bedienungsanleitung

VA1210 Validation & Self-Test Guide

Rev 7

Vesper -Confidential

List of Contents

Page

Contents

Overview

Hardware Check

Wearing the TWS

8-10

Signal Quality Check

Setting up Hardware VAD (Voice Activity Detect)

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Overview:

Validation & Self-Test

This guide will help to validate the performance of

your TWS prototype.

•

Part 1: Hardware Check.

Using BIST to check

integrity of VA1210 MEMS & wire connections

•

Part 2: Wearing the TWS

. Wear the TWS

properly to ensure the best signal.

•

Part 3: Signal Quality Check.

Measuring SNR

and Noise Floor.

•

Part 4: Setting Up Hardware VAD

. Using the

VA1210 as an ultra-low-power Hardware VAD. Validated TWS prototype

Hardware Check

Wearing the TWS

Signal Quality Check

Setting Up Hardware VAD

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Hardware Check:

Overview of Built-In Self Test (BIST)

•BIST is a self-test feature which lets you

check the health of the VA1210 and its

analog connections (e.g. to the ADC).

•BIST allows you to test the VA1210 in

mass production, without using expensive

test equipment such as a shaker.

•BIST involves two tests. In the next slide,

we will explain how to perform these tests.

reserved reserved reserved reserved reserved reserved BIST_POL BIST_EN

I2C Register 0x6:

time

BIST Test Sequence

1ms

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Test 1: Measure

OUT=OUTP-OUTM

Test 0: Measure

OUT=OUTP-OUTM

Hardware Check:

How to perform Built-In Self Test (BIST)

To perform BIST Test 0:

•set

MODE

pin low

•write 0x1 to Register 0x6 (BIST_POL=0, BIST_EN=1)

•Measure size of square wave at output (OUT=OUTP-OUTM)

To perform BIST Test 1:

•set

MODE

pin low

•write 0x3 to Register 0x6 (BIST_POL=1, BIST_EN=1)

•Measure size of square wave at output (OUT=OUTP-OUTM)

To exit BIST mode:

•write 0x0 to Register 0x6 (BIST_POL=0, BIST_EN=0)

Next, we will explain how to interpret the BIST result.

time

reserved reserved reserved reserved reserved reserved BIST_POL BIST_EN

BIST Test Sequence

I2C Register 0x6:

1ms

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Hardware Check:

How to interpret result of BIST

•The size of the square wave measured during

BIST Test 0

and

BIST Test 1

will

determine the result of the test.

Result of BIST Test 0

Result of BIST Test 1

Interpretation

Small square wave

(

OUT < 50mVpp*)

Large square wave

(

OUT > 50mVpp*)

System is healthy.

Small square wave

(

OUT < 50mVpp*)

Small square wave

(

OUT < 50mVpp*)

VA1210, PCB wiring,

or ADC is damaged.

Large square wave

(

OUT > 50mVpp*)

Large square wave

(

OUT > 50mVpp*)

VA1210 is damaged.

Large square wave

(

OUT > 50mVpp*)

Small square wave

(

OUT < 50mVpp*)

VA1210 is damaged.

*50mVpp threshold may change in the production version of the VA1210

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Wearing the TWS:

Quality of Fit and Cable Slack

•TWS prototype should be worn properly to ensure a

high-quality VA signal.

•Make sure the TWS

fits tightly

inside the ear.

•If the fit is too loose, use a

larger rubber eartip

•If the TWS mockup has cables, follow these steps:

1. Make sure that there is

slack

in the cables.

•Cables connected to TWS should be

loose

(not pulling tight)

•Use

tape

to secure cable and reduce tension. This also reduces cable

fluttering during wind testing.

2. Place the interface board

near

the wearer

•The interface board (connected to the TWS with cables) should not

be too far. It could be on a nearby table, or strapped to the shoulder.

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Signal Quality Check:

Part 1/3 -Measuring SNR

Steps to measure SNR:

1. Wear the TWS mockup. Make

two recordings

of the VA signal:

a) Silence Recording

: 10 seconds of silence

b) Speech Recording

: 10 seconds of speech (wearer is talking, e.g. reciting Harvard Sentences)

2. Bandpass

both recordings with a bandpass filter (120Hz -2kHz, 30dB/octave)

3. Compute

the following:

a) Compute RMS of

Silence Recording

Noise,

RMSnoise

b) Compute RMS of

Speech Recording

Total Noise + Speech,

RMStotal

c) Calculate Voice RMS from previous two results

RMSvoice

= sqrt(

RMStotal2

–

RMSnoise2

)

d) Calculate SNR in dB

SNRdB

= 20·log10(

RMSvoice

RMSnoise

)

In a good TWS mockup with normal voice loudness, measured SNR should be

>>6dB.

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Here, one audio vector (AudioRecording) includes both

Silence Recording

Speech Recording.

Start/stop time of each recording marked with: silenceStart, silenceEnd, speechStart, speechEnd

Code start:

audio_filtered = bandpass(AudioRecording, [120 2000], Fs, 'ImpulseResponse','iir','Steepness',[0.8 0.8]);

RMSnoise = rms(audio_filtered(silenceStart*Fs:silenceEnd*Fs));

RMStotal = rms(audio_filtered(speechStart*Fs:speechEnd*Fs));

RMSvoice = sqrt(RMStotal^2 -RMSnoise^2);

SNRva1200 = 20*log10(RMSvoice/RMSnoise);

Signal Quality Check:

Part 2/3 –Example MATLAB code

Compute RMS of

Silence Recording

Noise,

RMSnoise

Calculate Voice RMS from previous two results

RMSvoice

= sqrt(

RMStotal2

–

RMSnoise2

)

Calculate SNR in dB

SNRdB

= 20·log10(

RMSvoice

RMSnoise

)

Compute RMS of

Speech Recording

Total Noise + Speech,

RMStotal

Bandpass both recordings with a bandpass filter

(120Hz -2kHz, 30dB/octave)

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Signal Quality Check:

Part 3/3 -Analyzing Noise Floor

•You can check for RF interference

by plotting the FFT of the

Silence

Recording

. This is the VA1210

noise floor.

•A clean noise floor (see

blue

curve)

looks like a

1/f

slope with a ~30dB

resonant peak at 4.5kHz.

•If there is RF interference, it can

look like sharp peaks on the noise

floor (see

red

curve at 5-6kHz).

•Bluetooth interference can be

identified by the noise frequency.

The peaks are usually multiples of

133Hz (i.e. 133Hz, 266Hz, 400Hz)

Clean VA1210 noise recording

VA1210 noise

recording with RF

interference

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