Boost Your Podcast Quality with Adobe's Speech Enhancement

Table of Contents:

1. Introduction
2. Overview of the Audio Gear Comparison
3. Comparison between Neural Networks and Final Cut Pro AI
4. Comparison between Neural Networks and Adobe Podcast AI
5. Testing the Audio Quality of iPhone and Rode Video Micro with Neural Networks
6. Testing the Audio Quality of Sony a7s3 with Rode Video Micro
7. Testing Professional Microphones with Neural Networks
8. Comparison between Noise Cancellation Features and Neural Networks
9. Testing Microphones at Different Distances
10. Comparing the Audio Quality of Different Systems

Introduction

Overview of the Audio Gear Comparison

• Audio setup video on the Channel
• Comparison between $1000 worth of audio gear
• Neural networks built into Final Cut Pro 10
• Latest version of Final Cut and Adobe Podcast AI

Comparison between Neural Networks and Final Cut Pro AI

• Applying Final Cut AI to audio
• Audio quality comparison with iPhone and Rode Video Micro
• Pros and cons of using Final Cut Pro AI

Comparison between Neural Networks and Adobe Podcast AI

• Applying Adobe Podcast AI to audio
• Audio quality comparison with iPhone and Rode Video Micro
• Pros and cons of using Adobe Podcast AI

Testing the Audio Quality of iPhone and Rode Video Micro with Neural Networks

• Testing the audio from iPhone 13 Pro Max and Rode Video Micro
• Applying Final Cut AI and Adobe Podcast AI to the audio
• Comparing the results and discussing preferences

Testing the Audio Quality of Sony a7s3 with Rode Video Micro

• Testing the audio from Sony a7s3 with Rode Video Micro
• Applying Final Cut AI and Adobe Podcast AI to the audio
• Comparing the results and discussing preferences

Testing Professional Microphones with Neural Networks

• Testing professional microphones with neural networks
• Applying different AI algorithms and neural networks to clean up the audio
• Evaluation of the results and comparison between microphones

Comparison between Noise Cancellation Features and Neural Networks

• Comparison of built-in noise cancellation features and neural networks
• Testing the Comica VMO C system with noise cancellation
• Testing the Adobe enhancer neural network with noise cancellation

Testing Microphones at Different Distances

• Testing microphones at different distances from the source
• Comparing the audio quality of microphones at various distances
• Discussion on the differences observed and their implications

Comparing the Audio Quality of Different Systems

• Comparing the audio quality of different systems
• Comparing regular microphone corrections with Final Cut Pro 10 voice isolation and Adobe podcast AI
• Evaluation of the sound and comparison to regular setups

Conclusion

Audio Gear Comparison: Neural Networks vs. Professional Audio Equipment

In today's video, we will Delve into a comprehensive comparison between audio gear worth $1000 and the neural networks integrated into video editing software such as Final Cut Pro 10 and Adobe Podcast AI. With the advancement of technology, these AI-powered neural networks promise to work magic in processing voiceover audio. But do they truly deliver? Join me as we explore the audio quality and capabilities of these neural networks in comparison to traditional professional audio equipment.

Overview of the Audio Gear Comparison

Before diving into the comparisons, I would like to invite You to check out a previous video on my channel, where I discuss my audio setup in Detail. In this video, we will be comparing the audio quality produced by neural networks integrated into Final Cut Pro 10 and Adobe Podcast AI. These neural networks aim to enhance voiceover audio and eliminate background noise. So, let's embark on this audio Journey and compare the results!

Comparison between Neural Networks and Final Cut Pro AI

To kick off the comparison, we will Apply the Final Cut AI to the audio from an iPhone and a Rode Video Micro. The goal is to assess the effectiveness of Final Cut Pro 10's neural network in enhancing audio quality. By utilizing the AI capabilities, we will uncover the pros and cons of this approach, gaining insights into its potential for various use cases.

Comparison between Neural Networks and Adobe Podcast AI

Next up, we will shift our focus to Adobe Podcast AI and examine how it performs in enhancing audio recorded with an iPhone and a Rode Video Micro. Similar to the previous comparison, we will assess the effectiveness of Adobe's neural network in improving audio quality. While this AI-Based solution offers the promise of magic, we will also highlight its limitations and discuss the suitability of this technology for different scenarios.

Testing the Audio Quality of iPhone and Rode Video Micro with Neural Networks

In this segment, we will conduct a series of tests to evaluate the audio captured by an iPhone 13 Pro Max and a Rode Video Micro. We will apply both the Final Cut AI and Adobe Podcast AI to assess their impact on audio quality. Through these tests, we aim to determine which neural network performs better and is more suitable for enhancing audio from these devices. Join us and let us know your preferred option!

Testing the Audio Quality of Sony a7s3 with Rode Video Micro

Moving on, we will explore the audio quality produced by a Sony a7s3 camera with a Rode Video Micro. Similar to the previous tests, we will apply the Final Cut AI and Adobe Podcast AI to evaluate their impact on audio quality. By comparing the results, we hope to shed light on the strengths and weaknesses of these neural networks when used with professional-grade equipment like the Sony a7s3.

Testing Professional Microphones with Neural Networks

In this segment, we will take our audio tests a step further by experimenting with professional-grade microphones. By applying different AI algorithms and neural networks, we will attempt to clean up the audio and assess the results. Our objective is to evaluate the performance of neural networks in enhancing audio captured by professional microphones in various scenarios. Stay tuned to discover the outcomes of these tests!

Comparison between Noise Cancellation Features and Neural Networks

Now, let's dive into a comparison between built-in noise cancellation features and neural networks. Firstly, we will test the Comica VMO C system, which boasts its own noise cancellation capabilities. Subsequently, we will apply the Adobe enhancer neural network to assess its effectiveness. By comparing these approaches, we aim to determine which method provides superior noise reduction and audio enhancement.

Testing Microphones at Different Distances

In this section, we will conduct tests to evaluate the audio quality of microphones at different distances from the sound source. By comparing the results, we aim to highlight any variations in audio performance and Gather insights on the optimal distance for capturing high-quality sound. Join us as we delve into the impact of distance on microphone performance.

Comparing the Audio Quality of Different Systems

Last but not least, we will compare the audio quality of different systems. We will evaluate the audio processed through regular microphone corrections, the Final Cut Pro 10 voice isolation feature, and Adobe podcast AI. By critically assessing these outputs, we aim to determine which system produces the cleanest and most pleasing audio. Join us in this audio adventure and share your thoughts in the comments!

Conclusion

In conclusion, the integration of neural networks into video editing software marks a promising advancement in audio enhancement. While both Final Cut Pro 10 AI and Adobe Podcast AI showcase commendable improvements, it is crucial to consider their strengths and weaknesses. By understanding their limitations and making informed choices, content Creators can leverage these technologies to achieve remarkable audio quality. So, equip yourself with knowledge, experiment with different setups, and let your creative voice be heard!