How would you describe the voiceover recording process in a media enterprise?
Scripts, microphones, headphones, and complete silence in a studio, right? When discussing audio production, we immediately envision a complete process involving various high-quality tools and software.
Media enterprises are accustomed to producing audio with the help of tools, a physical studio, a recording team, and a host/journalist.
Do you believe that a process like audio production cannot be automated in light of the innovations happening around the world?
This is indeed possible and Depsync voice cloning technology is capable of producing studio-quality audio content, such as voiceovers, using the voices of media enterprises' famous hosts.
Yes, with artificial intelligence, media enterprises can streamline their audio production workflows to produce daily voiceovers in their famous journalist/host AI voices per their various content requirements. Without needing any equipment or studio!
Interested in learning how Deepsync can transform your enterprise audio production process? Read on until the end of this blog.
Understanding the Current Media Enterprise Voiceover Recording and Production Workflow and its Challenges
Audio Recording Process: Recording voiceovers manually is painstakingly a lengthy and tiring process mentally and physically for the hosts.
When I had to record my voice in a physical studio in order to get the audio data for cloning my voice, I understood the importance of this. Here’s my experience:
My voice has been recorded in a budget studio equipped with fairly decent and professional recording equipment.
I was required to record as much audio as possible in one day, however, this was not possible, so I had to sit for six hours in total over two days to record 4-5 hours of audio.
I had to be very careful not to make the slightest sound or even breathe a little into the microphone even when using professional microphones with pop filters or I had to re-do my sentence. This was too tiring every time.
As you speak continuously in front of the microphone, your throat becomes sore and you lose track of your flow and tone. Every time I did that, I was asked to repeat my sentence.
Further, the recording person will request short breaks, and the hosts will require a break as well due to the fact that speaking continuously while maintaining tone and flow will drain the host's energy.
In any event, time cannot be saved at any cost. For example, if enterprises wish to record five or six hours of audio, that cannot be accomplished in a single day, and even if it were possible, the entire process would exhaust the host.
Editing Process and Additional Process: Once my audio was recorded, final editing was performed on the output in order to remove abrupt sounds caused by a sore throat and small noises such as breathing and page-turning.
I recorded 4.5 hours of audio after sitting for six hours, which after editing was reduced to 3 hours. And after that, I still had to wait for one day to get my final finished audio from the studio as editing took time.
I was able to retrieve 3 hrs' worth of audio after 3 days, which doesn’t seem to be efficient at all.
Cost: It is expensive to record voiceover in a budget studio, I was charged $80 per hour and had to pay an additional $150 to the audio engineer for editing. In spite of the fact that it was a budget studio, the final cost was extremely high!
Imagine what a high-end studio would cost.
Audio Production and Scaling: Scaling audio content and producing new audio daily is not efficient and achievable in a short time using traditional production processes.
Manual production methods are time-consuming and require a high degree of dependability. The availability of the host is a critical factor for audio recording teams and marketing content teams.
Scaling at mass for different topics cannot be accomplished in a short period of time since manual recording is required for every new topic. In order to record more audio, more studio time will be required.
Even if there is a slight flow change while recording hosts are required to rerecord the sentence, or if the script changes suddenly and that part has already been recorded, it must be rerecorded. It’s a never-ending process!
The editing process for voiceover takes separate time resulting in more delays!
A traditional approach to recording, producing, and editing audio is not efficient given the automation that is occurring in every other industry.
No need to worry! With Deepsync's voice cloning technology, recording, production, and editing workflows can be automated to streamline your media enterprise's audio production processes.
In the next section, we will discuss how Deepsync supercharges your audio production process and reduces the time, cost, and dependability of your audio production process.
An Overview of How Deepsync AI Automates Audio Production
When we say that Deepsync automates audio production processes for enterprises, we mean that Deepsync can support your existing production processes in order to make the recording, production, and editing processes real-time.
No Need to Record Audio: With Deepsync’s voice cloning feature, Enterprise can eliminate the audio/voiceover recording process completely! Imagine how much time is saved.
Using Deepsync media enterprises can get their multiple famous host voices cloned at a lightning-fast speed, yeah cloning natural sounding voices to create an AI voice that sounds and feels exactly the same!
The good thing about voice cloning is that it can be done with pre-recorded high-quality audio data or RSS. Voice cloning involves a one-time fee of $200 per host voice.
Once the voice is cloned, it is in our dashboard ready to be converted into a new voiceover using text. Providing real-time editing, and unlimited changes to the script without the need for manual intervention.
It is also advantageous to have your enterprise's multiple hosts' voices cloned in order to allow your marketing and content teams the freedom of choice in delivering voiceovers. The host-cloned voice can be used to produce unlimited voice-overs without any reliance on the host.
By utilizing Deepsync media enterprises are able to produce voiceover daily in multiple host's voices, new day new voice, unlimited freedom, and increased productivity.
Production and Use Cases: Deepsync enables marketing and content teams at media enterprises to produce studio-quality content like short/long voiceovers and short/long podcasts on a daily basis.
The use of voiceovers is extremely versatile, and they can be used in a variety of applications, such as:
social media posts,
onboarding and training videos
Enterprise marketing and content teams can combine the host voiceover with other content to produce a professional-sounding voiceover video and audiovisual post.
Media enterprises no longer have to have their hosts recite the script in front of a microphone. Simply enter the script into our editor and produce voiceover in real-time, allowing easy scaling. Generating voice from the text!
Due to the fact that you have to enter text, this allows the hyper-personalization of AI audio to produce a live podcast in the host's voice.
With multiple host voices, you can dominate the podcasting domain. Convert text into audio and produce a new podcast every day or scale an existing podcast in minutes.
Through Deepsync, audio production has been redefined. Our technology allows media enterprises to save money on physical equipment, reduce recording and production times, and eliminate the long process of editing audio at the same time. Without the need for any additional tools.
The magic of script-based audio production: As long as there is no one speaking, there are no obstacles such as breathing into the microphone, maintaining silence, turning off fans, and getting a sore throat as a result of continuous speaking.
You will not have to perform editing tasks such as removing unwanted sounds because there won't be any, to begin with! Also cutting extra additional costs to get the audio edited!
Post-production tasks, such as adding background sounds and music, mixing and matching, and vocal pitch correction, can be completed in the studio itself as part of the production process. No extra effort is required!
Time-consuming processes such as recording audio, producing a professional production, and editing it can be automated with DeepSync, just like any other enterprise process.
The core of the future will be automation, as technology advances. In fact, we are proud to be able to say that our company is highly proficient in making such a complex and manual task seem like a walk in the park.
Despite the fact that we have just begun, there is still a lot to learn, our goal is to make audio production such an easy task that only one person can perform it by themselves without requiring any help or physical pieces of equipment
Changing and improving our internal processes is a constant part of our journey to ensure the production of audio content is efficient and productive for media enterprises.
To learn more about Deepsync you can schedule a demo with us by clicking on the image below.