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Merge branch 'feat/update_wn9_models' into 'master'

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doc: Update README

See merge request speech-recognition-framework/esp-sr!83
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Sun Xiang Yu 2024-01-03 10:56:42 +08:00
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4
CHANGELOG.md
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@ -4,6 +4,10 @@
- Available storage is less than the remaining flash space on IDF v5.0.
If you can not map model partition successfully, please check the left free storage by `spi_flash_mmap_get_free_pages(ESP_PARTITION_MMAP_DATA)` or update IDF to v5.1 or later.
## unreleased
- Add hey willow wakenet model: wn9_heywillow_tts
- Update wn9_alexa from v3 to v4
## 1.6.0
- Add Chinese MultiNet7 models
- Add first Noise Suppression model: nsnet1

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README.md
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@ -25,7 +25,7 @@ The new algorithms will no longer support ESP32 chips.
Espressif wake word engine **WakeNet** is specially designed to provide a high performance and low memory footprint wake word detection algorithm for users, which enables devices always listen to wake words, such as “Alexa”, “Hi,lexin” and “Hi,ESP”.
Currently, Espressif has not only provided an official wake word "Hi,Lexin","Hi,ESP" to the public for free, but also allows customized wake words. For details on how to customize your own wake words, please see [Espressif Speech Wake Words Customization Process](https://docs.espressif.com/projects/esp-sr/en/latest/esp32s3/wake_word_engine/ESP_Wake_Words_Customization.html).
Espressif has not only provided an official wake word "Hi,Lexin","Hi,ESP" to the public for free, but also allows customized wake words. For details on how to customize your own wake words, please see [Espressif Speech Wake Words Customization Process](https://docs.espressif.com/projects/esp-sr/en/latest/esp32s3/wake_word_engine/ESP_Wake_Words_Customization.html) or [Training Wake Words by TTS sample](https://github.com/espressif/esp-sr/issues/88).
The following wake words are supported in esp-sr:
@ -33,12 +33,13 @@ The following wake words are supported in esp-sr:
|:--------------- | :------------------------------------:| :---------------------:|
|Hi,乐鑫 | wn5_hilexin, wn5_hilexinX3 | wn9_hilexin |
|你好小智 | wn5_nihaoxiaozhi,wn5_nihaoxiaozhiX3 | wn9_nihaoxiaozhi |
|小爱同学 | | wn9_xiaoaitongxue |
|Hi,ESP | | wn9_hiesp |
|Hi,M Five | | wn9_himfive |
|Alexa | | wn9_alexa |
|小爱同学 | | wn9_xiaoaitongxue |
|Jarvis | | wn9_jarvis_tts |
|Computer | | wn9_computer_tts |
|Computer | | wn9_computer_tts |
|Hey,Willow | | wn9_heywillow_tts |
*NOTE:* `_tts` suffix means this WakeNet model is trained by TTS samples.
@ -48,6 +49,13 @@ Espressif's speech command recognition model **MultiNet** is specially designed
Currently, Espressif **MultiNet** supports up to 300 Chinese or English speech commands, such as “打开空调” (Turn on the air conditioner) and “打开卧室灯” (Turn on the bedroom light).
The following MultiNet models are supported in esp-sr:
|language | ESP32 | ESP32-S3 |
|:--------------- | :-------------------------:| :----------------------------:|
|Chinese | mn2_cn | mn5q8_cn, mn6_cn, mn7_cn |
|English | | mn5q8_en, mn6_en, mn7_en |
## Audio Front End
Espressif Audio Front-End **AFE** integrates AEC (Acoustic Echo Cancellation), VAD (Voice Activity Detection), BSS (Blind Source Separation) and NS (Noise Suppression).