speech_recognition/esp-sr
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doc: update README to support ESP32-P4

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xysun 2024-08-05 15:19:08 +08:00
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6
CHANGELOG.md
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@ -4,6 +4,12 @@
- 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.
## To be released
- Support esp32p4 for WakeNet
- Support esp32p4 for MultiNet
- Support esp32p4 for AFE_SR
## 1.8.0
- Support esp-idf v5.3
- Add more new wake words

12
README.md
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@ -17,7 +17,7 @@ ESP-SR framework includes the following modules:
These algorithms are provided in the form of a component, so they can be integrated into your projects with minimum effort.
ESP32-S3 is recommended, which supports AI instructions and larger, high-speed octal SPI PSRAM.
ESP32-S3/ESP32-P4 are recommended, which support AI instructions and larger, high-speed octal SPI PSRAM.
The new algorithms will no longer support ESP32 chips.
@ -30,7 +30,7 @@ Espressif offers two ways to customize the wake word, please refer to the follow
The following wake words are supported in esp-sr:
|wake words | ESP32 | ESP32-S3 |
|wake words | ESP32 | ESP32-S3/ESP32-P4 |
|:--------------- | :------------------------------------:| :---------------------:|
|Hi,乐鑫 | wn5_hilexin, wn5_hilexinX3 | wn9_hilexin |
|你好小智 | wn5_nihaoxiaozhi,wn5_nihaoxiaozhiX3 | wn9_nihaoxiaozhi_tts |
@ -67,10 +67,10 @@ Currently, Espressif **MultiNet** supports up to 300 Chinese or English speech c
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 |
|language | ESP32 | ESP32-S3 | ESP32-P4 |
|:--------------- | :-------------------------:| :----------------------------:| :----------------------------:|
|Chinese | mn2_cn | mn5q8_cn, mn6_cn, mn7_cn | mn7_cn |
|English | | mn5q8_en, mn6_en, mn7_en | mn7_en |
## Audio Front End