Telus Uses AI to Alter Call-Agent Accents
Key takeaways
- According to The Globe and Mail, Rogers and Bell told the paper they have no plans to adopt similar voice-altering technology.
- The Globe and Mail also reports that Rogers and Bell told the paper they do not plan to deploy similar technology.
- Voice conversion at low latency typically combines automatic speech recognition, speaker and accent conversion models, and neural vocoders.
According to The Globe and Mail, Rogers and Bell told the paper they have no plans to adopt similar voice-altering technology. The coverage says the rollout has provoked swift public backlash in Canada.
According to reporting by iPhone in Canada and The Globe and Mail, Telus is running call-centre audio through a live speech-to-speech system via its Telus Digital unit to alter agents' accents in real time. iPhone in Canada reports the software is supplied by Tomato.ai and that the system is applied to offshore agents' voices to address what Telus reportedly describes as "accent-related friction." The Globe and Mail reports labour groups have called the practice deceptive and have urged regulators to require customer disclosure. The Globe and Mail also reports that Rogers and Bell told the paper they do not plan to deploy similar technology.
Voice conversion at low latency typically combines automatic speech recognition, speaker and accent conversion models, and neural vocoders. Industry-pattern observations: real-time speech-to-speech systems can mask speaker identity and smooth prosody or phonetic patterns to reduce perceived accent differences, but doing so reliably across languages and noisy call-centre audio requires robust front-end ASR and latency-optimized inference. For practitioners, integrating such pipelines into live contact-centre stacks commonly raises operational tradeoffs between latency, naturalness, and robustness to background noise.