[July 10th (Fri)] We will be exhibiting and speaking at "Contact Center MashUpBOX 2026".

On the day of the event, we will introduce the latest use cases of combining speech recognition and generative AI, as well as the use of speech recognition APIs to transcribe phone calls in a contact center. Please feel free to join us. *When applying, please enter the referral code [1050].
Click here for details and application
| The cutting edge of call center speech recognition applications in the era of generative AI. | |
| Schedule | July 10, 2026 (Friday) 12:10–12:30 (JST) |
| Speaker | Asuka Yoshida, Sales Manager, PF D&O Department |
| Overview | In call centers, where labor shortages and the need to standardize service quality are major challenges, the use of speech recognition and generative AI is becoming key to transforming operations. In recent years, efforts to further reduce the workload have been accelerating, including the use of AI for automated responses and task completion. In this presentation, while keeping these future visions in mind, we will introduce the latest application examples combining generative AI and speech recognition, such as real-time text transcription and summarization of customer interactions, and FAQ presentation. In addition, we will discuss AmiVoice's unique high recognition accuracy, industry-specific dictionaries, and security advantages, honed through actual operation in domestic call centers, and deliver content focused on speech recognition, which forms the foundation of AI automation. |
| Contact Center MashUpBOX 2026 | |
| Schedule | July 10, 2026 (Friday) 10:00-17:00 (JST) |
| Venue | Sabou Kaikan Annex 1st and 3rd Floor Conference Rooms / Online https://www.sabo.or.jp/map.htm https://e-ve.event-form.jp/event/133318/cmb2026 *If you wish to watch online, please register using the link above. |
| Entry fee | Free Admission *To attend a seminar at the venue, you will need the seminar ticket of your choice in addition to the admission ticket. Please apply for both tickets together. *A referral code is required to apply. [Referral Code] 1050 |