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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
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@ -47,14 +47,14 @@ Resource Consumption
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.. note::
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- **MR:** one microphone channel and one playback channel
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- **MMNR:** two microphone channels and one playback channels
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- **Models:** nsnet2, vadnet1_medium, wn9_hilexin
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- **MR:** one microphone channel and one playback channel
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- **MMNR:** two microphone channels and one playback channels
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- **Models:** nsnet2, vadnet1_medium, wn9_hilexin
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.. list-table:: AFE configuration and Performance
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:widths: 25 15 15 20 20
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:header-rows: 1
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* - Config
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- Internal RAM (KB)
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- PSRAM (KB)
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@ -97,7 +97,7 @@ Resource Consumption
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.. list-table:: AFE configuration and pipeline
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:widths: 25 75
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:header-rows: 1
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* - Config
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- Pipeline
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* - MR, SR, LOW_COST
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@ -115,15 +115,15 @@ Resource Consumption
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.. note::
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- **MR:** one microphone channel and one playback channel
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- **MMNR:** two microphone channels and one playback channels
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- **Models:** nsnet2, vadnet1_medium, wn9_hilexin
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- **MR:** one microphone channel and one playback channel
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- **MMNR:** two microphone channels and one playback channels
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- **Models:** nsnet2, vadnet1_medium, wn9_hilexin
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.. list-table:: AFE configuration and Performance
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:widths: 25 15 15 20 20
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:header-rows: 1
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* - Config
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- Internal RAM (KB)
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- PSRAM (KB)
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@ -242,7 +242,7 @@ False triggering rate: once in 12 hours
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.. note::
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In this test, we used ESP32-S3-Korvo V4.0 development board and WakeNet9(Alexa) model.
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The above test results are based on the ESP32-S3-Korvo V4.0 development board and the WakeNet9 (Alexa) model.
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MultiNet
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--------
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@ -47,14 +47,14 @@ AFE
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.. note::
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- **MR:** 一个麦克风通道和一个播放通道
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- **MMNR:** 两个麦克风通道和一个播放通道
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- **Models:** nsnet2, vadnet1_medium, wn9_hilexin
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- **MR:** 一个麦克风通道和一个播放通道
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- **MMNR:** 两个麦克风通道和一个播放通道
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- **Models:** nsnet2, vadnet1_medium, wn9_hilexin
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.. list-table:: AFE 配置和性能
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:widths: 25 15 15 20 20
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:header-rows: 1
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* - Config
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- Internal RAM (KB)
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- PSRAM (KB)
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@ -90,14 +90,14 @@ AFE
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- 1173.7
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- 38.8
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- 30.0
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.. only:: esp32p4
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.. list-table:: AFE 配置和算法流程
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:widths: 25 75
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:header-rows: 1
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* - Config
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- Pipeline
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* - MR, SR, LOW_COST
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@ -112,18 +112,18 @@ AFE
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- ``|AEC(SR_LOW_COST)| -> |SE(BSS)| -> |VAD(vadnet1_medium)| -> |WakeNet(wn9_hilexin,)|``
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* - MMNR, SR, HIGH_PERF
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- ``|AEC(SR_HIGH_PERF)| -> |SE(BSS)| -> |VAD(vadnet1_medium)| -> |WakeNet(wn9_hilexin,)|``
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.. note::
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- **MR:** 一个麦克风通道和一个播放通道
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- **MMNR:** 两个麦克风通道和一个播放通道
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- **Models:** nsnet2, vadnet1_medium, wn9_hilexin
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- **MR:** 一个麦克风通道和一个播放通道
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- **MMNR:** 两个麦克风通道和一个播放通道
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- **Models:** nsnet2, vadnet1_medium, wn9_hilexin
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.. list-table:: AFE 配置和性能
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:widths: 25 15 15 20 20
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:header-rows: 1
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* - Config
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- Internal RAM (KB)
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- PSRAM (KB)
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@ -159,7 +159,7 @@ AFE
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- 1173.0
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- 28.2
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- 24.8
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WakeNet
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-------
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@ -242,7 +242,7 @@ WakeNet
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.. note::
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我们在测试中使用了 ESP32-S3-Korvo V4.0 开发板和 WakeNet9(Alexa) 模型。
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以上测试结果基于 ESP32-S3-Korvo V4.0 开发板和 WakeNet9(Alexa) 模型。
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MultiNet
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--------
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@ -311,9 +311,9 @@ Word Error Rate 性能测试
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.. note::
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中文使用没有声调的拼音单元去计算WER。
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中文使用没有声调的拼音单元去计算 WER。
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Speech Commands 性能测试(空调控制场景)
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Speech Commands 性能测试(空调控制场景)
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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+-----------+-----------+----------+------------+-------------+
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@ -372,6 +372,6 @@ NSNET
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| | dnsmos |
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+==================+========+
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| nsnet1 | 2.4 |
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+------------------+--------+
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+------------------+--------+
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| nsnet2 | 2.71 |
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+------------------+--------+
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