Skit Tech

Speech Tech from @Skit_ai

[Skit Tech @SkitTech]

We are excited to announce acceptance of a research work by @shangethr in ICASSP 2023!

https://t.co/uLom9feaEU

[Skit.ai @Skit_ai]

We at https://t.co/xX3RBgYTFd are thrilled to announce the acceptance of one of our recent research papers, "TaskMix: Data Augmentation for Meta-Learning of Spoken Intent Understanding" by Surya (@SuryaOju) at Findings of AACL-IJCNLP 2022.

https://t.co/PPNGVOxeqe

#research #ai

[Skit Tech @SkitTech]

Dataset release for speech-to-intent problem. See more in the linkedin post

https://t.co/ZKDenNobhD

[Skit Tech @SkitTech]

We’re excited to release another open-source dataset. This is for phone-number capture from conversational human speech. Read more on this LinkedIn post https://t.co/BDPVAJr6wp

[Skit Tech @SkitTech]

We’re excited to release an open-source dataset for emotional Text to Speech (TTS). Read more on this LinkedIn post

https://t.co/ImMT1SFLFP

[Skit Tech @SkitTech]

@Skit_ai and @gdsciiitkalyani’s WOC collaboration came to a great end.

@AnanyapamD did a great job in experimenting with noise in TTS systems all solo with the guidance of skit’s mentor @swaraj_dalmia

Checkout the blog:
https://t.co/kQi0UGu7yz

[Skit Tech @SkitTech]

Turn Taking Dynamics in Voice Bots

https://t.co/Hl3y4rtKzc

[Skit Tech @SkitTech]

Speeding up Inference with the Lottery Ticket Hypothesis by Surya

https://t.co/BWC9gGhHAW

[Skit Tech @SkitTech]

Feature disentanglement part 1 by @shangethr

https://t.co/ha8Oi1ns8r

[GDG On Campus - IIIT Kalyani @gdsciiitkalyani]

We are thrilled to have the opportunity to welcome you as one of our precious sponsors of the project Winter of Code'21. Your great sponsorship full of experiences really impressed us and gave us strong confidence. We are grateful to have you as a part of our event.

[Skit Tech @SkitTech]

Speech-First Conversational AI. Thoughts on the differences between speech and text bots.

https://t.co/YrI2gjnhDK

[Skit Tech @SkitTech]

A comprehensive guide on evaluating ASR for Spoken Dialog System.

https://t.co/kvOz9utLkU

[Skit Tech @SkitTech]

Defining conversational complexity. First of a series.

https://t.co/bPpFqiqWpb

[Skit Tech @SkitTech]

A year ago, we implemented the GitOps using ArgoCD and it's extremely beneficial to our deployment lifecycle. From rollback to auto-sync the process has become effortless.

You can find us on the official user list of @argoproj here https://t.co/f4pVhyKqVp.

[Skit Tech @SkitTech]

Our recent work on working with ASR hypothesis in SLU systems "N-Best-ASR-Transformer: Enhancing SLU Performance using Multiple ASR Hypotheses" got accepted in ACL-IJCNLP 2021.

You can get a quick summary of the work on our blog here https://t.co/Bcf3eMlCWd

[Skit Tech @SkitTech]

We're excited to welcome @AnanyapamD. He'll be working with us in creating models for noise-reduction on generated speech from TTS systems.

Shout out to @gdsciiitkalyani for making this possible!
#WinterOfCode2021

[Skit Tech @SkitTech]

We like versioning our documents like our code.

Here are Job Descriptions for openings in our tech teams https://t.co/KvagI3UVUD. Make sure to watch the repository for updates.

[Skit.ai @Skit_ai]

We're excited to share that we're collaborating with @gdsciiitkalyani for #WinterOfCode2021.

Students who participate will be working closely with us in solving real-world Voice CX problems and making open-source contributions.

Learn more - https://t.co/bKCpcKoQBJ

[Sourabh Gupta @sourabhsg]

1/n We at @Skit_ai officially complete five years today. We started with a vision to change the way businesses engage with their customers, and today I can confidently state that we have done so through Voice. Congratulations to the team. It has been an incredible journey.

[Skit Tech @SkitTech]

Want to know what the tech team at Skit has been reading lately?

Head over to our library https://t.co/vv8m7fUdDy

You might find a few insightful notes ;)