Merge branch 'docs/update_a_note' into 'master'

update a note to avoid confusion

Closes DOC-11264

See merge request speech-recognition-framework/esp-sr!175
This commit is contained in:
Sun Xiang Yu 2025-06-06 15:41:53 +08:00
commit 6964df0b55
2 changed files with 31 additions and 31 deletions

View File

@ -47,14 +47,14 @@ Resource Consumption
.. note::
- **MR:** one microphone channel and one playback channel
- **MMNR:** two microphone channels and one playback channels
- **Models:** nsnet2, vadnet1_medium, wn9_hilexin
- **MR:** one microphone channel and one playback channel
- **MMNR:** two microphone channels and one playback channels
- **Models:** nsnet2, vadnet1_medium, wn9_hilexin
.. list-table:: AFE configuration and Performance
:widths: 25 15 15 20 20
:header-rows: 1
* - Config
- Internal RAM (KB)
- PSRAM (KB)
@ -97,7 +97,7 @@ Resource Consumption
.. list-table:: AFE configuration and pipeline
:widths: 25 75
:header-rows: 1
* - Config
- Pipeline
* - MR, SR, LOW_COST
@ -115,15 +115,15 @@ Resource Consumption
.. note::
- **MR:** one microphone channel and one playback channel
- **MMNR:** two microphone channels and one playback channels
- **Models:** nsnet2, vadnet1_medium, wn9_hilexin
- **MR:** one microphone channel and one playback channel
- **MMNR:** two microphone channels and one playback channels
- **Models:** nsnet2, vadnet1_medium, wn9_hilexin
.. list-table:: AFE configuration and Performance
:widths: 25 15 15 20 20
:header-rows: 1
* - Config
- Internal RAM (KB)
- PSRAM (KB)
@ -242,7 +242,7 @@ False triggering rate: once in 12 hours
.. note::
In this test, we used ESP32-S3-Korvo V4.0 development board and WakeNet9(Alexa) model.
The above test results are based on the ESP32-S3-Korvo V4.0 development board and the WakeNet9 (Alexa) model.
MultiNet
--------

View File

@ -47,14 +47,14 @@ AFE
.. note::
- **MR:** 一个麦克风通道和一个播放通道
- **MMNR:** 两个麦克风通道和一个播放通道
- **Models:** nsnet2, vadnet1_medium, wn9_hilexin
- **MR:** 一个麦克风通道和一个播放通道
- **MMNR:** 两个麦克风通道和一个播放通道
- **Models:** nsnet2, vadnet1_medium, wn9_hilexin
.. list-table:: AFE 配置和性能
:widths: 25 15 15 20 20
:header-rows: 1
* - Config
- Internal RAM (KB)
- PSRAM (KB)
@ -90,14 +90,14 @@ AFE
- 1173.7
- 38.8
- 30.0
.. only:: esp32p4
.. list-table:: AFE 配置和算法流程
:widths: 25 75
:header-rows: 1
* - Config
- Pipeline
* - MR, SR, LOW_COST
@ -112,18 +112,18 @@ AFE
- ``|AEC(SR_LOW_COST)| -> |SE(BSS)| -> |VAD(vadnet1_medium)| -> |WakeNet(wn9_hilexin,)|``
* - MMNR, SR, HIGH_PERF
- ``|AEC(SR_HIGH_PERF)| -> |SE(BSS)| -> |VAD(vadnet1_medium)| -> |WakeNet(wn9_hilexin,)|``
.. note::
- **MR:** 一个麦克风通道和一个播放通道
- **MMNR:** 两个麦克风通道和一个播放通道
- **Models:** nsnet2, vadnet1_medium, wn9_hilexin
- **MR:** 一个麦克风通道和一个播放通道
- **MMNR:** 两个麦克风通道和一个播放通道
- **Models:** nsnet2, vadnet1_medium, wn9_hilexin
.. list-table:: AFE 配置和性能
:widths: 25 15 15 20 20
:header-rows: 1
* - Config
- Internal RAM (KB)
- PSRAM (KB)
@ -159,7 +159,7 @@ AFE
- 1173.0
- 28.2
- 24.8
WakeNet
-------
@ -242,7 +242,7 @@ WakeNet
.. note::
我们在测试中使用了 ESP32-S3-Korvo V4.0 开发板和 WakeNet9(Alexa) 模型。
以上测试结果基于 ESP32-S3-Korvo V4.0 开发板和 WakeNet9(Alexa) 模型。
MultiNet
--------
@ -311,9 +311,9 @@ Word Error Rate 性能测试
.. note::
中文使用没有声调的拼音单元去计算WER。
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)
Speech Commands 性能测试(空调控制场景)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+-----------+-----------+----------+------------+-------------+
@ -372,6 +372,6 @@ NSNET
| | dnsmos |
+==================+========+
| nsnet1 | 2.4 |
+------------------+--------+
+------------------+--------+
| nsnet2 | 2.71 |
+------------------+--------+