In this interview, Ryan Steelberg (President, Veritone) discusses the launch of MARVEL.ai, a complete end-to-end voice-as-a-service solution to create and monetize hyper-realistic synthetic voice content at commercial scale. Ryan explains how Veritone got into this area of synthetic voice and how synthetic media and synthetic voice changing the media landscape.
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Advertisers are finding it increasingly important to embrace an expanding digital audio landscape. The 2021 Infinite Dial report shows significant growth in digital audio, estimating that in 2021, weekly online audio listeners will reach 193 million, or 68% of the US population, up from 169 million, or 60%, in 2020.
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Because WO Traffic – Radio Interchange was still in development when Townsquare converted to WO Traffic in 2016, Townsquare was faced with a choice.
They could either return to manual handling of their network/barter contracts, which was a daunting prospect, or find a system to handle their barter automatically. After considering their options, Townsquare contracted to use a third-party’s system to automate their barter processes, fully intending to use it as a permanent solution. Although that system served for years as an alternative to manual dubbing, scheduling, and affidavit completion, over time Townsquare experienced challenges with some aspects of using it, especially given their high barter and cash comp volume.
One challenge was the amount of manual work that was involved on the front end of the process. Townsquare had to individually build all of their network barter and cash comp orders into WO Traffic as placeholder contracts, making sure to keep up with constant changes, additions, and cancellations throughout the year. They then had to create materials and manually enter dayplaced (and often dayparted) material instructions into WO Traffic for each network order. Finally, the material numbers for each order had to be manually transferred to the third-party’s system for dubbing and affidavit completion. Townsquare estimates that the duplication of effort for the entire workflow consumed upwards of 2500 person-hours in a year, plus an additional four to six hundred hours spent every December entering new orders, or adjusting existing ones, to match the networks’ contracts for the following year.
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Streaming high-resolution video typically comes with an inevitable trade-off between available bandwidth and quality of experience for the end user. Delivering uncompromising video quality typically requires excessively high bitrates, which can result in slow starts, video buffering and high content delivery network (CDN) and storage costs. As the percentage of IP traffic attributed to video increases (estimated to already surpass 82%), these problems are only exacerbated, driving greater urgency for new innovations to address these challenges.
Traditional solutions that attempt to minimize bandwidth without compromising quality are centered around the development of more intelligent video encoders; either by replacing rate control, quantization and prediction strategies within them, or the entirety of a standard video coding pipeline. The latter, however, is a particularly risky proposition for video encoding services, since it requires the creation of bespoke transport mechanisms and decoders across multiple client device types. Likewise, improvements generated by a standards-based codec remain severely constrained by its inherent compliance needs.
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Think of the last movie you streamed. There must have been clothing, an accessory, or a food product that you saw on screen and couldn’t resist the temptation of buying. For instance, the elegant gown that Emma Watson wears in the movie Little Women or the watches that Robert Downey flaunts on the screen.
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Quantiphi’s Video Similarity-powered solution offering enables Media, Sports and Gaming Enterprises to dramatically transform their content management, save on cloud expenses and automate content operations.
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Audiences today have an international content palette. The worldwide success of international titles like “Parasite” and Spanish shows like “Money Heist” only confirm that content now traverses global boundaries. As OTTs go global and studios and sporting leagues launch their own OTT platforms, the need for technology that localizes this volume of content will increase at an enormous scale. With timelines that can put distribution and post-production teams under undue pressures and stringent and diverse global distribution norms for content, this is perfect use case for Artificial Intelligence (AI).
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The science of artificial intelligence (AI) has become indispensable to the art of captioning. The rise of AI in captioning and transcription solutions can be attributed to many factors. However, the one that stands out is the rise of voice technology. Speech-to-text technology is the most rapidly emerging technology in the closed-captioning arena.
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Do you know that AI is the primary driving force behind captioning and transcription solutions? Media organizations leverage AI-driven solutions to elevate post-production workflows. A leading tennis broadcaster in America was grappling with an inefficient and time-consuming captioning process. They leveraged Digital Nirvana’s Trance captioning application and reduced turned around time from hours to 30 minutes. Trance has exceeded our client’s expectations in several unique ways. Learn more about how we’ve positively impacted this organization.
Digital Nirvana’s Trance brings the AI advantage to your transcription, captioning, and translation workflows.
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Content consumption has grown exponentially in the past year fueled by consumers’ insatiable demand. This resulted in the growth in the number of OTT platforms providing excellent opportunities as well as challenges, for content providers. Their goal is to deliver high-value content tailored to the specific requirements of each platform, including multi-language transcriptions and compliant closed captions, and to do it as fast and efficiently as possible. Our client, a leading entertainment short-form news provider, chose AI power of Trance to tackle these challenges. Trance empowered our client to generate captions within 90 minutes of asset ingest and deliver fully compliant content, conforming to exact style guideline requirements.
Digital Nirvana’s Trance brings the AI advantage to your transcription, captioning, and translation workflows.
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