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en/docs/dev_doc/datasheet/index.md
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Product Datasheets
Core Modules Datasheets

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en/docs/dev_doc/datasheet/std_product/ai_dnr/dnr65211_vc1.md → en/docs/dev_doc/datasheet/std_product/ai_dnr/dnr6521x_vc1.md
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### 1.1 Product Description
DNR65211 is a high-performance AI deep noise reduction product based on XMOS processor architecture, designed to provide audio equipment manufacturers with exceptional audio processing capabilities. The product integrates two independently optimized AI noise reduction models.
DNR6521x is a high-performance AI deep noise reduction product based on XMOS processor architecture, designed to provide audio equipment manufacturers with exceptional audio processing capabilities. The product integrates two independently optimized AI noise reduction models.
- The strong noise reduction model employs deep neural network architecture to effectively process various stationary and non-stationary noises in complex acoustic environments, achieving maximum noise suppression while ensuring high voice fidelity
- The singing noise reduction model reduces processing latency to 11 milliseconds through lightweight design, effectively suppressing background noise while completely preserving vocal characteristics
@@ -76,7 +76,7 @@ DNR65211 is a high-performance AI deep noise reduction product based on XMOS pro
### 1.4 Product Functional Block Diagram
<figure markdown="span">
![DNR65211 Block Diagram](/assets/images/hifi_audio/dnr65211_diagram.png "DNR6521x-VC1 Block Diagram"){width=600}
![DNR6521x Block Diagram](/assets/images/hifi_audio/dnr65211_diagram.png "DNR6521x-VC1 Block Diagram"){width=600}
<figcaption>Figure 1: DNR6521x-VC1 Block Diagram</figcaption>
</figure>
@@ -116,7 +116,7 @@ DNR65211 is a high-performance AI deep noise reduction product based on XMOS pro
!!! info ""
<div class="sticky-column" markdown>
| Comparison Dimension | DNR65211 Strong Noise Reduction Model | DNR65211 Singing Noise Reduction Model | Traditional Noise Reduction Technology |
| Comparison Dimension | Strong Noise Reduction Model | Singing Noise Reduction Model | Traditional Noise Reduction Technology |
|----------------|---------------------------------------------|-----------------------------------------------|----------------------------------|
| **Technical Principle** | Deep neural network architecture, AI algorithm real-time spectrum analysis, intelligent voice and noise component identification | Based on strong noise reduction model, specially optimized for music scene processing, preserves singing tone and timbre characteristics | Frequency domain filtering method, based on statistical models and fixed algorithm parameters |
| **Processing Latency** | < 50ms meets audio-video synchronization | < 11ms ultra-low latency | Medium latency |
@@ -131,14 +131,14 @@ DNR65211 is a high-performance AI deep noise reduction product based on XMOS pro
## 3. Pin Configuration and Functions
### 3.1 DNR65211_VC1 Pin Layout
### 3.1 DNR6521x_VC1 Pin Layout
<figure markdown="span">
![DNR6521x-VC1 Pin Diagram](/assets/images/hifi_audio/a316_pin.png "DNR6521x-VC1 Pin Diagram"){width=400}
<figcaption>Figure 2: DNR65211_VC1 Pin Layout Diagram</figcaption>
<figcaption>Figure 2: DNR6521x_VC1 Pin Layout Diagram</figcaption>
</figure>
### 3.2 DNR65211_VC1 Pin Description
### 3.2 DNR6521x_VC1 Pin Description
| Pin Number | Name | Type | Function |
|:--------:|:----------|:------|:-----------------------------|
@@ -213,17 +213,23 @@ DNR65211 is a high-performance AI deep noise reduction product based on XMOS pro
<figcaption></figcaption>
</figure>
## 5 Product Packaging Information
## 5. reference design
<figure markdown="span">
![DNR6521x_VC1 Reference Design](/assets/download/dnr6521x_vc1/dnr6521x-vc1_referance_design_2025098.png "DNR6521x_VC1 Reference Design")
<figcaption></figcaption>
</figure>
## 6. Product Packaging Information
--8<-- "dev_doc/datasheet/modules/a316_mini_v1_datasheet.md:package"
## 6. Revision History
## 7. Revision History
| Version | Date | Description | Author |
|:------|:-------------|:---------------------------------------|:-------------|
| V1.0 | 2025-08-10 | Initial version release | |
| | | | |
## 7. Inquiry and Feedback
## 8. Inquiry and Feedback
<details>
<summary>Click to expand inquiry and feedback form</summary>

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en/docs/dev_doc/datasheet/std_product/ai_dnr/dnr65221_vc1.md
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@@ -108,7 +108,7 @@ DNR65221-VC1 is a high-performance AI deep noise reduction product based on XMOS
!!! info ""
<div class="sticky-column" markdown>
| Comparison Dimension | DNR65221 Strong Noise Reduction Model | DNR65221 Singing Noise Reduction Model | Traditional Noise Reduction Technology |
| Comparison Dimension | Strong Noise Reduction Model | Singing Noise Reduction Model | Traditional Noise Reduction Technology |
|----------------|---------------------------------------------|-----------------------------------------------|----------------------------------|
| **Technical Principle** | Deep neural network architecture, AI algorithm real-time spectrum analysis, intelligent voice and noise component identification | Based on strong noise reduction model, specially optimized for music scene processing, preserves singing tone and timbre characteristics | Frequency domain filtering method, based on statistical models and fixed algorithm parameters |
| **Processing Latency** | < 50ms meets audio-video synchronization | < 11ms ultra-low latency | Medium latency |

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en/docs/dev_doc/datasheet/std_product/ai_dnr/dnr65231_vc1.md
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@@ -107,7 +107,7 @@ DNR65231 is a high-performance AI deep noise reduction product based on XMOS pro
!!! info ""
<div class="sticky-column" markdown>
| Comparison Dimension | DNR65231 Strong Noise Reduction Model | DNR65231 Singing Noise Reduction Model | Traditional Noise Reduction Technology |
| Comparison Dimension | Strong Noise Reduction Model | Singing Noise Reduction Model | Traditional Noise Reduction Technology |
|----------------|---------------------------------------------|-----------------------------------------------|---------------------------------|
| **Technical Principle** | Deep neural network architecture, AI algorithm real-time spectral analysis, intelligent identification of voice and noise components | Based on strong noise reduction model, specially optimized for music scenarios, preserving vocal pitch and timbre characteristics | Frequency domain filtering method, based on statistical models and fixed algorithm parameters |
| **Processing Latency** | < 50ms meets audio-video synchronization | < 11ms ultra-low latency | Medium latency |

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en/docs/dev_doc/index.md
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# Documentation Categories
---
- [Product Datasheets](./datasheet/index.md)
- [Core Modules Datasheets](./datasheet/index.md)
- [Development Evaluation Board Resources](./evb/index.md)