性能测试结果
AFE
资源消耗
Algorithm Type |
RAM |
Average cpu loading(compute with 2 cores) |
Frame Length |
---|---|---|---|
AEC(LOW_COST) |
152.3 KB |
8% |
32 ms |
AEC(HIGH_PERF) |
166 KB |
11% |
32 ms |
BSS(LOW_COST) |
198.7 KB |
6% |
64 ms |
BSS(HIGH_PERF) |
215.5 KB |
7% |
64 ms |
NS(NS_MODE_SSP) |
27 KB |
5% |
10 ms |
NS(nsnet1) |
885 KB |
25% |
16 ms |
NS(nsnet2) |
375 KB |
12% |
32 ms |
MISO |
56 KB |
8% |
16 ms |
AFE Layer |
227 KB |
WakeNet
资源消耗
Model Type |
RAM |
PSRAM |
Average Running Time per Frame |
Frame Length |
---|---|---|---|---|
Quantised WakeNet8 @ 2 channel |
50 KB |
1640 KB |
10.0 ms |
32 ms |
Quantised WakeNet9 @ 2 channel |
16 KB |
324 KB |
3.0 ms |
32 ms |
Quantised WakeNet9 @ 3 channel |
20 KB |
347 KB |
4.3 ms |
32 ms |
性能测试
Distance |
Quiet |
Stationary Noise (SNR = 4 dB) |
Speech Noise (SNR = 4 dB) |
AEC I nterruption (-10 dB) |
---|---|---|---|---|
1 m |
98% |
96% |
94% |
96% |
3 m |
98% |
96% |
94% |
94% |
误触发率:12 小时 1 次
备注
我们在测试中使用了 ESP32-S3-Korvo V4.0 开发板和 WakeNet9(Alexa) 模型。
MultiNet
资源消耗
Model Type |
Internal RAM |
PSRAM |
Average Running Time per Frame |
Frame Length |
---|---|---|---|---|
MultiNet 4 |
16.8KB |
1866 KB |
18 ms |
32 ms |
MultiNet 4 Q8 |
10.5 KB |
1009 KB |
11 ms |
32 ms |
MultiNet 5 Q8 |
16 KB |
2310 KB |
12 ms |
32 ms |
MultiNet 6 |
32 KB |
4100 KB |
12 ms |
32 ms |
Model Type |
Internal RAM |
PSRAM |
Average Running Time per Frame |
Frame Length |
---|---|---|---|---|
MultiNet 7 |
18 KB |
2920 KB |
8 ms |
32 ms |
Word Error Rate 性能测试
Model Type |
aishell test |
---|---|
MultiNet 5_cn |
9.5% |
MultiNet 6_cn |
5.2% |
备注
中文使用没有声调的拼音单元去计算WER。
Speech Commands 性能测试(空调控制场景)
Model Type |
Distance |
Quiet |
Stationary Noise (SNR=5~10dB dB) |
Speech Noise (SNR=5~10dB dB) |
---|---|---|---|---|
MultiNet 5_cn |
3 m |
88.9% |
66.1% |
67.5% |
MultiNet 6_cn |
3 m |
98.8% |
88.3% |
88.0% |
MultiNet 6_cn_ac |
3 m |
97.1% |
95.1% |
96.8% |
备注
MultiNet6_cn_ac在空调场景数据集上进行了进一步的微调,所以在空调控制场景具有更好的性能。
TTS
资源消耗
Flash image size: 2.2 MB
RAM runtime: 20 KB
性能测试
CPU 负载测试(ESP32 @240 MHz):
Speech Rate |
0 |
1 |
2 |
3 |
4 |
5 |
---|---|---|---|---|---|---|
Times faster than real time |
4.5 |
3.2 |
2.9 |
2.5 |
2.2 |
1.8 |
NSNET
性能测试
数据集:array_onemic_nnoise_20230608(按照亚马逊声学认证标准录制测试集)
dnsmos |
|
---|---|
nsnet1 |
2.4 |
nsnet2 |
2.71 |