ESP-ADF(Espressif Audio Development Framework)algorithm parameters can be reviewed and determined based on the following aspects:

1.Understand the algorithm stream configuration structure

The`algorithm_stream_cfg_t`structure contains various parameters that can be configured for the algorithm stream:

• input_type:Specifies the input type of the stream,such as`AUDIO_STREAM_READER`or`AUDIO_STREAM_WRITER`.

• task_stack:Sets the size of the task stack.A larger stack size may be needed for more complex algorithms or larger data processing.

• task_prio:Determines the task priority.Higher priority tasks will be executed more frequently,which may be necessary for real-time audio processing.

• task_core:Specifies the core on which the task will be created.This can be set to 0 or 1,depending on the specific hardware architecture and requirements.

• out_rb_size:Defines the size of the output ring buffer.A larger ring buffer can help to avoid data overflow but may increase memory usage.

• stack_in_ext:Indicates whether to try to allocate the stack in external memory.This can be useful if the internal memory is limited.

• rec_linear_factor:Sets the linear amplification factor of the record signal.This parameter can be adjusted to optimize the audio recording quality.

• ref_linear_factor:Sets the linear amplification factor of the reference signal.It affects the quality of the audio reference signal used in algorithms like AEC.

• debug_input:Enables or disables debugging of algorithm input data.Setting this to`true`allows you to get the original input data for analysis and debugging purposes.

• swap_ch:Determines whether to swap the left and right channels of the audio signal.This may be needed depending on the specific audio hardware and signal processing requirements.

• algo_mask:Allows you to choose which algorithms to use.You can select a combination of AEC,AGC,NS,etc.,based on your application needs.

• sample_rate:Specifies the sampling rate of the input PCM audio signal.The sampling rate should match the requirements of the audio algorithms and the hardware capabilities.

• mic_ch:Sets the number of microphone channels.This parameter should be consistent with the actual microphone configuration.

• agc_gain:Defines the AGC gain(in dB)for voice communication.Adjusting this parameter can help to optimize the audio level and quality.

• aec_low_cost:Determines whether to use a low-cost AEC algorithm that consumes less CPU and RAM resources but may have poorer suppression of nonlinear distortion.

• partition_label:Specifies the partition label where the model data is stored.This is important if you are using machine learning models in your audio processing pipeline.

2.Refer to the official documentation and examples

The official ESP-ADF documentation provides detailed information about the algorithm parameters and their usage.You can refer to the documentation to understand the default values,recommended ranges,and the impact of different parameter settings on the algorithm performance.Additionally,the documentation includes example code and application scenarios that can help you to better understand how to configure and use the algorithm parameters.

3.Test and debug

After configuring the algorithm parameters,you should test and debug your application to ensure that the audio processing works as expected.You can use audio analysis tools to check the quality of the processed audio signals and identify any issues or artifacts.By analyzing the debug input data and the output audio,you can fine-tune the parameters to achieve the desired audio quality and performance.

4.Consider the specific application requirements

The optimal parameter settings may vary depending on the specific application requirements,such as the audio quality,latency,and resource constraints.For example,in a real-time voice communication application,you may need to prioritize low latency and high audio quality,while in a background noise reduction application,you may focus more on the effectiveness of the noise suppression.Therefore,you should carefully consider the specific needs of your application and adjust the algorithm parameters accordingly.