6 points

Dang, swearing was one of my strategies to get the bot to forward me to a representative

permalink
report
reply
2 points

🤖 I’m a bot that provides automatic summaries for articles:

Click here to see the summary

According to a report from the Japanese news site The Asahi Shimbun, SoftBank’s project relies on an AI model to alter the tone and pitch of a customer’s voice in real-time during a phone call.

SoftBank’s developers, led by employee Toshiyuki Nakatani, trained the system using a dataset of over 10,000 voice samples, which were performed by 10 Japanese actors expressing more than 100 phrases with various emotions, including yelling and accusatory tones.

By analyzing the voice samples, SoftBank’s AI model has reportedly learned to recognize and modify the vocal characteristics associated with anger and hostility.

In a Reddit thread on Softbank’s AI plans, call center operators from other regions related many stories about the stress of dealing with customer harassment.

Harassment of call center workers is a very real problem, but given the introduction of AI as a possible solution, some people wonder whether it’s a good idea to essentially filter emotional reality on demand through voice synthesis.

By reducing the psychological burden on call center operators, SoftBank says it hopes to create a safer work environment that enables employees to provide even better services to customers.


Saved 78% of original text.

permalink
report
reply
48 points

Interacting with people whose tone doesn’t match their words may induce anxiety as well.

Have they actually proven this is a good idea, or is this a “so preoccupied with whether or not they could” scenario?

permalink
report
reply
6 points

It’s probably the Jurassic Park effect

permalink
report
parent
reply
43 points
*

Have they actually proven this is a good idea, or is this a “so preoccupied with whether or not they could” scenario?

It’s businesses “throwing AI into stuff”, so I’m going to say it’s a safe bet it’s the latter.

permalink
report
parent
reply
10 points

Am I crazy or is 10,000 samples nowhere near enough for training people’s voices?

permalink
report
reply
1 point

Doubtful that’s enough to do anything useful, maybe if data is great and perfectly tuned with some guidance?

permalink
report
parent
reply
3 points

If you have pre-trained model or a classical voice matching algorithm as the basis, few samples might suffice.

permalink
report
parent
reply
1 point

I don’t think it seems like too few samples for it to work.

What they train for is rather specific. To identify anger and hostility characteristics, and adjust pitch and inflection.

Dunno if you meant it like that when you said “training people’s voices”, but they’re not replicating voices or interpreting meaning.

learned to recognize and modify the vocal characteristics associated with anger and hostility. When a customer speaks to a call center operator, the model processes the incoming audio and adjusts the pitch and inflection of the customer’s voice to make it sound calmer and less threatening.

permalink
report
parent
reply
25 points
*

This is giving me Black Mirror vibes. Like when that lady’s consciousness got put into a teddy bear, and she only had two ways to express herself:

  • Monkey wants a hug
  • Monkey loves you

I get that you shouldn’t go off on customer service reps (the reason you’re angry is never their fault), but filtering out the emotion/intonation in your voice is a bridge too far.

permalink
report
reply
14 points

Most of the time angry customers don’t even understand what they’re angry at. They’ll 180 in a heartbeat if the agent can identify the actual issue. I agree, this is unnecessary.

permalink
report
parent
reply
5 points
*

Yep, 100%.

In college, I worked at a call center for one of the worst Banks of America (oops, meant banks in America 😉). Can confirm that, and I dealt with a LOT of angry customers.

permalink
report
parent
reply
6 points

Based on my experience working in a call center, I wouldn’t call it unnecessary. People are fucked up.

permalink
report
parent
reply
6 points

It’s not an easy job, and it can absolutely be rough and frustrating. But knowing what your customer is saying is pretty important.

permalink
report
parent
reply
4 points

I did phones in a different century, so I don’t know whether this would fly today. But, my go-to for someone like this was “ok, I think I see the problem here. Shall we go ahead and fix it or do you need to do more yelling first?

I can’t remember that line ever not shutting them down instantly. I never took it personally, whatever they had going on they were never angry at me personally.

Then again, I do remember firing a couple of customers (“we don’t want your business any more etc”) after I later became a manager and people were abusive to staff. So you could be right, also.

permalink
report
parent
reply

Technology

!technology@beehaw.org

Create post

A nice place to discuss rumors, happenings, innovations, and challenges in the technology sphere. We also welcome discussions on the intersections of technology and society. If it’s technological news or discussion of technology, it probably belongs here.

Remember the overriding ethos on Beehaw: Be(e) Nice. Each user you encounter here is a person, and should be treated with kindness (even if they’re wrong, or use a Linux distro you don’t like). Personal attacks will not be tolerated.

Subcommunities on Beehaw:


This community’s icon was made by Aaron Schneider, under the CC-BY-NC-SA 4.0 license.

Community stats

  • 3K

    Monthly active users

  • 3.3K

    Posts

  • 81K

    Comments