Ex-NPR Host Sues Google Over AI Voice Cloning of His Voice
- Los Angeles, CA – Former NPR radio host David Greene has filed a lawsuit against Google and its parent company, Alphabet, alleging that the tech giant used his...
- Greene, previously the host of NPR’s “Morning Edition” and currently hosting KCRW’s “Left, Right & Center,” first became aware of the potential issue in the fall of 2024...
- “I was, like, completely freaked out,” Greene told the Washington Post.
Los Angeles, CA – Former NPR radio host David Greene has filed a lawsuit against Google and its parent company, Alphabet, alleging that the tech giant used his voice to train its artificial intelligence audio tool, NotebookLM. The suit, filed in California’s Superior Court in Santa Clara County, claims Google utilized Greene’s voice “to develop, train, and refine” its AI product without authorization.
Greene, previously the host of NPR’s “Morning Edition” and currently hosting KCRW’s “Left, Right & Center,” first became aware of the potential issue in the fall of 2024 when friends and colleagues began contacting him. They inquired whether he had licensed his voice to Google after encountering the AI-generated audio summaries produced by NotebookLM, which they found strikingly similar to his own.
“I was, like, completely freaked out,” Greene told the Washington Post. He described the experience as “eerie,” noting his ability to identify subtle vocal patterns and phrasing unique to his delivery within the AI-generated audio. “It’s this eerie moment where you feel like you’re listening to yourself.”
NotebookLM is an AI-powered tool that allows users to generate podcast-like audio summaries from text. It features both male and female voices, and was notably used by Spotify last year to create podcast episodes related to its “Spotify Wrapped” user summaries. The core of Greene’s complaint centers on the alleged unauthorized replication of his vocal characteristics in the male voice option.
Google has denied the allegations. A spokesperson told the Washington Post that the male voice used in NotebookLM’s Audio Overviews is based on a paid professional actor. However, Greene commissioned an independent forensic analysis of the AI voice. The analysis, conducted by an AI forensic firm, indicated a confidence rating between 53% and 60% that his voice was used in the training of the NotebookLM software. (A rating above zero suggests vocal similarity, according to the analysis cited in the lawsuit.)
The lawsuit highlights a growing concern surrounding the use of AI to replicate human voices. This case arrives on the heels of similar disputes, including one involving actress Scarlett Johansson, who in 2024 protested OpenAI’s creation of a virtual assistant voice that she felt too closely resembled her own, despite her repeated refusals to license her voice to the company.
The legal action seeks redress for the unauthorized use of Greene’s voice and potential lost opportunities to capitalize on his vocal identity. Beyond the financial implications, Greene emphasized the personal significance of his voice. “My voice is, like, the most important part of who I am,” he stated to the Washington Post.
The case, filed on , in Northern California, where Alphabet is headquartered, is the latest to surface as the AI industry rapidly evolves. It raises critical questions about the rights of individuals to control their own likeness, particularly their voices, in an era where AI-powered voice cloning technology is becoming increasingly sophisticated and accessible.
The implications of this lawsuit extend beyond Greene’s individual case. It could set a precedent for how AI companies approach voice replication and the need for explicit consent and compensation when utilizing an individual’s vocal characteristics for AI training purposes. The outcome of the case will likely be closely watched by both the technology industry and creative professionals alike.
The lawsuit also underscores the challenges in definitively proving voice replication. While the forensic analysis provided a significant confidence level, establishing a clear causal link between Greene’s voice and the AI-generated voice will be a key aspect of the legal proceedings. The technical nuances of AI voice synthesis and the potential for coincidental similarities will likely be central to Google’s defense.
As AI continues to blur the lines between human and machine-generated content, legal frameworks surrounding intellectual property and personal likeness are struggling to keep pace. This case, along with others like it, is forcing a critical conversation about the ethical and legal boundaries of AI-powered voice replication and the need to protect the rights of individuals in the age of artificial intelligence.