Speechlab and Realtime Translation with Ivan Galea
Nov 2, 2023
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Ivan Galea, an expert in speech technology and AI techniques for realtime dubbing, discusses the quantum leap in speech synthesis models, real time dubbing erasing communication barriers, impact of AI on industries, language cues in human quality content, use cases for real-time translation, addressing technology misuse, comparisons to other speech technology products, predicting the future of real-time translation, and advancements in language translation technology.
Speech technology has made significant strides in the past year, with speech synthesis models producing indistinguishable speech from real speech, driven by generative AI.
Real-time dubbing using new AI techniques, like those showcased by SpeechLab with examples of Obama speaking Spanish and Musk speaking Japanese, is on the verge of achieving the holy grail of speech technology, erasing communication barriers and transforming the world.
Deep dives
Advances in Speech Technology and AI
In the past year, speech technology has made significant strides, with speech synthesis models producing speech that is indistinguishable from real speech. Generative AI has played a crucial role in driving these advancements. SpeechLab, a leader in real-time dubbing, is utilizing new AI techniques to convert speech from one language to another. Examples like President Obama speaking Spanish or Elon Musk speaking Japanese showcase the capabilities of real-time dubbing. Ivan Gileya, the co-founder and president of SpeechLab, emphasizes that we are on the verge of achieving the holy grail of speech technology, which will overcome communication barriers and transform the world.
Mixed Reactions to AI and Speech Technology
While AI and speech technology have their advocates who appreciate their benefits, there is also a level of fear and resistance towards them. This reaction is not unique to AI but is common with the introduction of any new technology throughout history. Concerns revolve around the potential impact on existing jobs, as exemplified by the recent Hollywood strike. While new jobs may be created, some existing jobs may become obsolete or require adaptation. This fear of the unknown is inherent whenever there is significant technological change. However, Gileya suggests that AI represents a more fundamental shift, akin to the introduction of the internet, affecting not just technical capabilities but business models as well.
Ethical Implications of AI and Speech Technology
The ethical implications of AI and speech technology, particularly deep fakes and the ability to clone voices, pose significant challenges and concerns. Gileya acknowledges the ethical responsibility that companies have in ensuring the responsible use of technology and the protection of individuals' identity and voice rights. While legislation is slower to adapt to technological advancements, companies like SpeechLab prioritize permissioning and build products that address these concerns. The emergence of deep fakes highlights the need for industry collaboration, education, and the development of identification technologies to differentiate between real and falsified content. Overall, the ethical implications of AI extend beyond technology and raise questions about identity, privacy, and economic rights.
The Future of Speech Technology and Real-Time Translation
The future of speech technology holds exciting possibilities. In the next few years, high-quality, real-time translation in multiple languages will become a reality. This advancement will break down language barriers and revolutionize industries such as healthcare, entertainment, and learning. The availability of talent will no longer be restricted by language proficiency, leading to more global collaborations and opportunities for businesses. Additionally, the personalization of content through speech technology will enable localized, individualized experiences. In the long term, the vision is to achieve fully interactive conversations that are indistinguishable from real human interactions, where languages become transparent and communication is seamless. While challenges in regulation, detection of deep fakes, and ethical considerations remain, the transformative potential of speech technology is enormous.
Speech technology has been around for a long time, but in the last 12 months it’s undergone a quantum leap. New speech synthesis models are able to produce speech that’s often indistinguishable from real speech. I’m sure many listeners have heard deep fakes where computer speech perfectly mimics the voice of famous actors or public figures. A major factor in driving the ongoing advances is generative AI.
Speechlab is at the forefront of using new AI techniques for realtime dubbing, which is the process of converting speech from one language into another. For the interested listener, we recommend hearing the examples with President Obama speaking Spanish or Elon Musk speaking Japanese in this YouTube video. Ivan Galea is the Co-founder and President at Speechlab and he joins the show to talk about how we’re on the cusp of reaching the holy grail of speech technology – real time dubbing – and how this will erase barriers to communication and likely transform the world.
This episode is hosted by Lee Atchison. Lee Atchison is a software architect, author, and thought leader on cloud computing and application modernization. His best-selling book, Architecting for Scale (O’Reilly Media), is an essential resource for technical teams looking to maintain high availability and manage risk in their cloud environments.
Lee is the host of his podcast, Modern Digital Business, an engaging and informative podcast produced for people looking to build and grow their digital business with the help of modern applications and processes developed for today’s fast-moving business environment. Listen at mdb.fm. Follow Lee at softwarearchitectureinsights.com, and see all his content at leeatchison.com.