"The sound is amazing!" A virtual tour from Nagoya to Florence to Palawan with Lee Chan-won [Talkpa-won 25:00]

*This content was translated by AI.

Singer Lee Chan-won invites viewers to a world of diverse virtual tours through JTBC's "Talkpa-won 25:00."

In the episode airing at 8:50 p.m. on the 20th, trot singer Jeon Yu-jin will appear. In the opening, Lee Chan-won, along with Jeon Hyun-moo and Yang Se-chan, joined Jeon Yu-jin in a challenge for her new song, creating a cheerful atmosphere.

In this episode, viewers will be treated to exciting virtual tour videos featuring a miso hotpot food tour in Nagoya, an onsen healing session, a romantic meal at a unique restaurant overlooking the sunset from the Ponte Vecchio in Florence, the surreal scenery of El Nido in Palawan, an encounter with dugongs, and BTS photoshoot locations, satisfying all five senses.

The first destination is Nagoya, Japan. Talkpa-won showcased a miso hotpot food tour at a renowned miso restaurant, featuring miso-braised dote-yaki and miso pork cutlet, complete with ASMR. Hearing the crisp "crunch" sound, Lee Chan-won exclaimed, "Wow~ The sound is amazing," expressing his admiration.

The virtual tour continued with a healing session at one of Japan's three famous hot springs, where guests could enjoy the view of nature, offering a chance to savor both gourmet food and relaxation simultaneously.

The second virtual tour destination is Florence, Italy. Lee Chan-won expressed his excitement, saying, "Let's go to Italy, let's go!"

From the landmark Ponte Vecchio in Florence to a unique restaurant where food is delivered via balcony, and finally to a romantic meal at sunset, the cast members were left in awe.

The third virtual tour destination is Palawan, Philippines. The surreal scenery of El Nido, known as a paradise on earth, captivated viewers. Additionally, the "dugong," the protagonist of the mermaid legend, sparked curiosity. Videos of Coron, known as a BTS photoshoot location, were also released, further piquing interest.

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*This content was translated by AI.