Speech-to-text

ASAPP - Bringing State of the Art Speech Transcription to CX

Bringing State of the Art Speech Transcription to CX

End-to-end architecture improves the scalability and performance of machine learning models for speech transcription to serve enterprise contact center needs better. Read more

Prashant Sridhar
Prashant Sridhar

Engineering Manager

ASAPP - Bringing State of the Art Speech Transcription to CX
ASAPP—Utilizing Pre-trained Language Model for Speech Sentiment Analysis

Utilizing Pre-trained Language Model for Speech Sentiment Analysis

On the path to real-time speech sentiment analysis, new ASAPP research achieves training efficiency gains with transfer learning between spoken and written language domains. Read more

Suwon Shon
Suwon Shon, PhD

Senior Speech Scientist at ASAPP

ASAPP—Utilizing Pre-trained Language Model for Speech Sentiment Analysis
ASAPP—Multi-mode ASR: Increasing Robustness with Dynamic Future Contexts

Multi-mode ASR: Increasing Robustness with Dynamic Future Contexts

Rather than maintaining multiple ASR models that work under varying time constraints or conditions, new ASAPP research introduces a single multi-mode model that can dynamically adjust to different scenarios. Read more

Kwangyoun Kim
Kwangyoun Kim

Senior Speech Scientist at ASAPP

ASAPP—Multi-mode ASR: Increasing Robustness with Dynamic Future Contexts
ASAPP—Introducing CLIP: A Dataset to Improve Continuity of Patient Care with Unsupervised NLP

Introducing CLIP: A Dataset to Improve Continuity of Patient Care with Unsupervised NLP

In pursuit of our mission to enhance human performance and automate the world’s workflows, ASAPP is releasing one of the largest annotated datasets for clinical NLP. Read more

James Mullenbach
James Mullenbach

Research Engineer at ASAPP

ASAPP—Introducing CLIP: A Dataset to Improve Continuity of Patient Care with Unsupervised NLP
ASAPP—Why companies who want true VoC need to engage the power of AI

Why companies who want true VoC need to engage the power of AI

Engage the power of AI to get rich voice of the customer (VoC) insight that you can act on right now. Build loyalty and grow CLV. Read more

Michael Lawder
Michael Lawder

Chief Experience Officer, ASAPP

ASAPP—Why companies who want true VoC need to engage the power of AI
ASAPP—Why a little increase in transcription accuracy is such a big deal

Why a little increase in transcription accuracy is such a big deal

Highly accurate speech-to-text transcription can provide tremendous value, but most off-the-shelf ASR models struggle with the words that matter most. Read more

AustinMeyer
Austin Meyer

Head of Solution Design at ASAPP

ASAPP—Why a little increase in transcription accuracy is such a big deal
ASAPP—Task-oriented dialogue systems could be better. Here’s a new dataset to help.

Task-oriented dialogue systems could be better. Here’s a new dataset to help.

Dialogue State Tracking has run its course. That’s why we’re establishing a new Action-Based Conversations Dataset. Read more

Derek Chen
Derek Chen

Research Scientist at ASAPP

ASAPP—Task-oriented dialogue systems could be better. Here’s a new dataset to help.
ASAPP—Addressing Instabilities For Few-sample BERT Fine-tuning

Addressing instabilities for few-sample BERT fine-tuning

Building on recent advances in natural language processing, new research from Felix Wu identifies ways to significantly stabilize BERT fine-tuning on small datasets. Read more

Felix Wu
Felix Wu, PhD

Research Scientist at ASAPP

ASAPP—Addressing Instabilities For Few-sample BERT Fine-tuning
ASAPP—Filling in the missing pieces for automation

Filling in the missing pieces for automation

Natural language input can be hard to classify. ASAPP research goes beyond conventional methods, building better systems to inform more accurate automation. Read more

Yoav Artzi
Yoav Artzi

Research Fellow at ASAPP

ASAPP—Filling in the missing pieces for automation
ASAPP—Reducing the High Cost and Carbon Footprint of Training NLP Models With SRU ++

Reducing the high cost of training NLP models with SRU++

Highly expressive and efficient neural models can be designed using SRU++ with little attention computation needed. Read more

Tao Lei
Tao Lei, PhD

Research Leader and Scientist at ASAPP

ASAPP—Reducing the High Cost and Carbon Footprint of Training NLP Models With SRU ++