Innovation and technology have been evolving rapidly over the past decade! This includes both hardware and software developments that have helped the human workforce in terms of increasing productivity, saving time and cost as well as reducing dependability.
Enterprises are often seeking new technologies that will assist them in saving maximum resources and streamlining their work processes so that they can achieve their quarterly and yearly goals and increase their revenue.
It is encouraging to see so many technological advancements taking place and new start-ups emerging that offer tools for automating almost every business process. When it comes to the production of audio, there have been no major developments beyond the cost of the equipment increasing.
Media enterprises seeking to adopt audio-first strategies or those who wish to scale audio content are still stuck with traditional audio recording and production processes.
Having your own studio and people for the production of audio may help you to maintain control, whereas outsourcing leaves you with no control, allowing you to succumb to the studio's prices and processes.
What is the expected amount of time and money you will spend in the recording studio?
Recording 8-9 hours of audio typically takes 12-15 hours, and longer if the language or script is complicated.
At a budget studio, you should expect to spend approximately $25 per hour, whereas, at a more upscale studio, you should expect to spend a minimum of $3000 per hour. Consider the cost of recording 10-15 hours of audio per day.
It is not uncommon to find something for around $100 per hour in many places. It is unlikely that you will be able to get the best quality voiceover for less than $100 per hour.
You should add about $150 per voiceover if you hire a good audio engineer to oversee the editing process.
These costs are all prohibitively high, as you can see. Most people believe that recording, producing, and scaling audio in a studio is the only method, but in 2022, when innovation is everywhere, do you feel that this is still the case?
That is not the case. It is one way to go, but it is not the only way in today’s day and age!
Producing Studio Quality Audio with the Power of AI
With artificial intelligence, processes like:
Audio recording,
Audio production,
Editing and post-production have evolved
As the pioneers of voice cloning in audio production, Depsync is the evolution of audio production.
Deepsync's unique technology accelerates audio production processes for enterprises. Streamlining enterprises' audio content scaling goals by reducing the time through real-time production.
Our technology allows enterprises to produce unlimited studio-quality audio content in real-time daily without needing studios or expensive equipment, with 95% accuracy in tone, accent, and feel, using natural-sounding cloned AI voices of their multiple hosts, anchors, and journalists.
Here's a video comparing an original voice with a cloned one. This video's cloned audio was generated from audio data of 3 hours and 10 minutes.
Despite less audio data, we were able to match the cloned audio perfectly. Listen to how natural the tone and accent are.
What are the steps to take? You will learn more in this article about how your media organization can produce audio content in real-time.
Traditional Voiceover Recording and Production Process, Why they are Inefficient
Let’s examine why the manual enterprises audio recording and production process is flawed, time taking, and inefficient in a fast-paced enterprise environment.
The cost of high-quality equipment, tools, and software must first be borne by your enterprise if it owns a studio, what equipment do you need?
Microphone: Good mics are required for voice capture. Recording quality is largely dependent on the quality of your microphone.
A high-quality microphone will produce better output, therefore media enterprises with multiple hosts will be required to invest in multiple high-quality microphones which costs start around $1500.
Headphones: The host/journalist must be able to listen to the script, so they can keep their flow and tone in check! Which cost around $150-300.
Microphone Stand: Mics shouldn't be handled physically by the host. The recordings will sound more consistent even when the mic is fixed to a mic stand. Costs $200-300.
Mic stands with shock mounts cost around $800, and separate shock mounts cost $100.
Pop Filter: There are times when microphones pick up too much of the plosive and sibilant sounds made by the mouth ("P" sounds pop, while "S" sounds hiss).
These sounds are diffused by a pop filter. Cost $100.
Acoustic Foam: During voice-over, it can be very distracting to hear the ambiance of the room, so it should be controlled if you wish to achieve professional results. Costs $100-500.
The total cost of all products is extremely high, and moving to a lower-cost product will not help you achieve the best enterprise-level sound quality possible.
Furthermore, as already mentioned above, enterprises with 20 or more hosts will need to invest in multiple pieces of equipment to achieve productivity and quick audio production. With time the pieces of equipment will experience wear and tear, having to be replaced.
Challenges in Producing Audio manually:
When you're looking to produce audio content daily, the traditional audio production process takes a lot of time, is flawed, and isn't flexible enough.
Having to wait for the host to be present for the recording consumes time, and the voiceover recording team is dependent on the availability of the host.
Producing audio content requires the presence of a journalist or host in the studio. Moreover, recording audio takes up the host's or journalist's valuable time.
Recording audio: It takes a lot of time and expensive equipment to record audio. And even after getting the best equipment, there’s always the hassle of recording disturbance-free audio without any slight background noise.
For example, accidentally banging a leg on the table where the mic is on the mic stand, switching pages in the script, and if the host misses a word or changes tone slightly, the same line must be re-done.
Post-production: Editing the initially recorded voice narration, eliminating breathing noises, pauses, and small disturbances.
Adding sound, mixing and matching, vocal pitch correction, and audio trimming is the extra effort that eats up more time hence delaying everything.
Now that we have learned about the current audio production process and its flaws, let us explore how Deepsync facilitates and automates voiceover recording and production.
Enabling enterprises to produce high-quality branded audio in their famous journalist and host natural voices in just a few minutes by cloning their voice from pre-recorded audio data of 1-3 hours.
By cloning host voices, Deepsync allows content marketing teams to produce:
Studio-quality short/long-form audio,
AI voice-overs,
Audio-visual posts,
As well as daily short/long form podcasts in the natural-sounding voices of their hosts/journalists without relying on them. Putting an end to traditional limitations in audio production.
The Deepsync Audio Production workflow:
Pre-recorded audio: Recording audio content manually takes hours and a half or a full day at the studio. Pre-recorded audio of hosts can be used to produce audio content through Deepsync.
Rather than worrying about giving time to the studio, hosts can focus on their major tasks.
Understanding the voice cloning process:
For achieving high-quality host-cloned voices, Depsync requires their pre-recorded audio data or RSS feed, ranging from 1-4 hours.
As soon as the voice is cloned, the recording team is no longer dependent on the host. Hence saves time and eliminates dependency.
Multiple host/journalist voices can be instantly cloned and selected by the audio recording team. Providing independence and productivity.
Using artificial intelligence to produce studio-quality content: Audio can be easily produced from a script without any equipment.
Choose conveniently which host voice to use for producing audio content by cloning your famous host/anchor voices.
No background noise, no disturbances. After recording, there is no need to edit.
And in the case of script reiteration just edit the text and produce new audio output again without making your hosts go through extra effort.
Editing the Audio and Post Production: With our studio, you can add sounds, add background music, mix and match, and correct vocal pitch. Saving effort! MP3 or MP4 output is available within minutes.
Cost of Audio Production with Deepsync AI: In contrast to manual audio production, which requires expensive equipment and a physical studio, Deepsync automates that process. Eliminating expenses.
A one-time fee of $200 is charged for Voice Cloning for the hosts. once the host voice is cloned marketing and content teams just require a laptop, an internet connection, and the cloned voice to produce in our virtual studio.
Having eliminated any technical obstacles, our platform is super user-friendly, allowing anyone from the content teams to produce audio from anywhere.
There are affordable pricing plans available for individuals ($79), small/medium teams($299), and customized pricing for large corporations.
With all the high-end studio features available at one price, users can produce unlimited studio-quality audio content daily.
As a result of the rapid and easy audio production process, media organizations' content marketing teams can produce and scale audio content in real-time, which in turn allows the marketing heads to focus on meeting growth objectives instead of worrying about enterprise content production.
Audio Production Use Case with Deepsync Voice Cloning AI
Adding cloned anchor and host voices to existing content processes can have major disruptions for both consumers of media enterprises as well as marketing and content teams employed in branded content production.
Voice Narration:
Your hosts don't have to recite the script in front of a microphone anymore.
Create a high-quality voiceover in the host's voice by copying the script into our editor and generate voice from the text in the host's AI voice within seconds.
With Deesync, you can produce multiple voiceovers per day for multiple content use cases instead of producing one voiceover per day manually. Scaling becomes super easy! Content use cases with AI voiceover:
Conversion of all website content/blogs/guides into Audio blogs using AI voiceover, for delivering an audio experience to users.
Making YouTube videos, such as educational and promotional videos, with AI voices integrated into static images and dynamic videos.
Provide a host read caption experience for social media channels such as Instagram, Facebook, Twitter, and LinkedIn using AI voiceover.
Leverage the text-to-voice feature to produce hype-personalized unique audio for interacting with audiences who have subscribed to your inbox news update for channels like WhatsApp and Messenger to promote new offers, features, and landing pages!
Producing HD Long/short Form Podcasts:
Short/long form podcasts as an entertainment channel are on the boom and help in expanding footprints.
By using Deepsync enterprises can start producing and scaling short and long-form podcasts using multiple famous hosts/journalists/anchors AI voices in minutes.
Release new episodes every day maintain consistency on podcasting channels and reign as the number podcast brand with the power of Artificial Intelligence.
Conclusion
In the landscape of audio production, innovation has been happening all around with a little here and there. There are software and tools in the market that helps you ramp up productivity.
Using our technology, your enterprise can reduce the costs and time taken to produce audio as well as ramp up productivity, and ensure easy collaboration between marketing teams and enterprise hosts in a seamless manner.
Your Marketing teams just have to decide the content topic and they are all set to produce a studio-quality human voiceover for it without any hindrance.
To learn more about Deepsync you can schedule a demo with us by clicking on the image below.
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