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speech-recognition

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Automatic Speech Recognition (ASR)- Building Future Ready Workplace

We can trace the advancement in technology adoption from punch-card computers to the latest touch screen devices. However, there is a lot left to explore. But, what is it?The answer is Automatic Speech Recognition (ASR). It is a huge step to transform the spoken word into written form. Automatic Speech Recognition (ASR) is a trend that is set to make noise in 2022. And the rise in the growth of voice assistants is due to in-built voice assistant smartphones and smart voice devices like Alexa.As per PwC, 29% of customers leverage voice assistants to ask quick questions.”Considering the benefits Automatic Speech Recognition (ASR)(ASR) brings, there is the wellspring of an opportunity here and now for business savvy people and digital innovation leaders to put ASR to good use.Before we dig...
Continuous Speech Recognition Testing | by Florian Treml | Feb, 2022
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Continuous Speech Recognition Testing | by Florian Treml | Feb, 2022

From traditional IVR systems, still very common in customer service, to voice assistants on Alexa or Google Assistant — voice technology is nowadays part of everyday life, and it will continue to gain importance in future. The component stack of a typical voice assistant includes speech recognition and speech synthesis, apart from the usual conversational components like NLU (natural language understanding), dialogue management and NLG (natural language generation).Botium Box enables companies to implement a holistic test strategy for voice assistants on all levels of the component stack. This article focuses on the speech recognition part and shows how to build a regression test suite based on audio files, transcription files and word error rate verification.Continuous Speech Recogniti...
An Extensive Guide To Data Collection For Speech Projects | by Shaip | Sep, 2021
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An Extensive Guide To Data Collection For Speech Projects | by Shaip | Sep, 2021

Is it just us or are virtual assistants actually becoming quirkier and sassier by the day? If you remember your first interaction with a virtual assistant like Siri, Cortana, or Alexa, you would recollect bland responses and plain execution of tasks.However, their responses are not the same they used to be. Over the years, they have grown to become sarcastic, witty, and in simple words — more human-like. It’s like they are just a step away from cracking the Turing Test. But this has been a journey, hasn’t it?To get here, close to a decade of AI training has happened at the backend. Thousands of data scientists and AI experts have meticulously worked for hours together to source the right datasets to train their speech projects, annotate key aspects and make machines learn them intact. F...
Why Keyword Detection Is a Key Feature in Speech Recognition for Kids | by SoapBox
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Why Keyword Detection Is a Key Feature in Speech Recognition for Kids | by SoapBox

VP of Speech Technology, Dr. Amelia Kelly, brings you the sixth installment of our “Lessons from Our Voice Engine” series, featuring high-level insights from our Engineering and Speech Tech teams on how our voice engine works.What is keyword detection?Keyword detection is a feature of the SoapBox engine that allows users to search for a word or phrase (even multiple examples simultaneously) within an audio file.Why is it important for our voice engine and kids’ speech recognition?In kids’ speech applications, we may only be interested in a particular word or phrase that is spoken by the child. For example, this word or phrase may be the response to a multiple choice question or a password that triggers an action within the platform, game, or application.Keyword and keyphrase detection a...
What Are Acoustic Models and Why Are They Needed in Speech Recognition for Kids? | by SoapBox
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What Are Acoustic Models and Why Are They Needed in Speech Recognition for Kids? | by SoapBox

Speech Recognition Engineer Armin Saeb brings you the fifth installment of our “Lessons from Our Voice Engine” series, featuring high-level insights from our Engineering and Speech Tech teams on how our voice engine works.What is an acoustic model (AM)?Acoustic Models (AM) are key components of any speech recognition engine. An AM describes the statistical properties of sound events and connects the acoustic information with phonemes or other linguistic units. Hidden Markov Models (HMM) are one of the most common types of AMs. Other acoustic models include Deep Neural Networks (DNN) and Convolutional Neural Networks (CNN).1. How Conversational AI can Automate Customer Service2. Automated vs Live Chats: What will the Future of Customer Service Look Like?3. Chatbots As Medical Assistants ...
Debiasing Speech Recognition Systems for Kids | by SoapBox
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Debiasing Speech Recognition Systems for Kids | by SoapBox

Welcome to Lesson 4 in our “Lessons from Our Voice Engine” series, featuring high-level insights from our Engineering and Speech Tech teams on how our voice engine works. This lesson is from Dr. Amelia Kelly, VP of Speech Technology.What is debiasing?Artificial intelligence systems will reflect the conscious and unconscious biases of their creators and create poor — and often prejudicial — user experiences for underrepresented users. Machine learning algorithms are unique in that they carry out decisions based on what they’ve seen within a supplied dataset, rather than being explicitly programmed using a predetermined set of rules. Building a system based largely on data from one demographic will result in accurate performance of the speech recognition system for that sub-group, but ina...
“Speech Recognition” August 2021 — summary from Arxiv, Europe PMC and Springer Nature | by Brevi Assistant | Aug, 2021
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“Speech Recognition” August 2021 — summary from Arxiv, Europe PMC and Springer Nature | by Brevi Assistant | Aug, 2021

Arxiv — summary generated by Brevi AssistantIt’s challenging to personalize transducer-based automated speech recognition system with context information which is inaccessible and vibrant during version training. Experiments reveal that the design improves standard ASR model performance with about 50% relative word mistake rate decrease, which also substantially outperforms the baseline approach such as contextual LM biasing. In this paper, we provide AISHELL-4, a sizable real-recorded Mandarin speech dataset gathered by 8-channel round microphone selection for speech processing in conference scenario. Provided most open resource dataset for multi-speaker tasks are in English, AISHELL-4 is the only Mandarin dataset for conversation speech, supplying added worth for information diversity...
Applications of Deep Learning in Speech Recognition for Kids | by SoapBox
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Applications of Deep Learning in Speech Recognition for Kids | by SoapBox

Welcome to Lesson 3 in our “Lessons from Our Voice Engine” series, featuring high level insights from our Engineering and Speech Tech teams on how our voice engine works. This lesson is from Siva Reddy Gangireddy, a Senior Speech Recognition Scientist on our Speech Tech team.To understand deep learning, we need a basic understanding of machine learning.Machine learning is a group of algorithms that focus on learning from data to make predictions and decisions without any explicit programming. It usually involves training a model on huge amounts of data to learn patterns so that predictions and decisions can then be made on new data. For example, the smart speakers we use in daily life are based on machine learning algorithms.Deep learning is a form of machine learning that’s based on ne...
Why Custom Language Models (CLMs) are Needed in Speech Recognition for Kids | by SoapBox | Jun, 2021
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Why Custom Language Models (CLMs) are Needed in Speech Recognition for Kids | by SoapBox | Jun, 2021

Welcome back to “Lessons from Our Voice Engine,” where members of our Engineering and Speech Tech teams offer high level insights into how our voice engine works.Lesson 2 is from Lora Lynn Asvos, a Computational Linguist on our Speech Tech team.What are CLMs?CLM stands for “custom language model.” As mentioned in Lesson 1, language models are statistical models of language that can predict the next word based on the context.CLMs are language models, as the name implies, but they have a little something extra. Instead of focusing generically on a given language, a CLM focuses on a specific domain of that language. This domain could be fairy tales, fables, scientific texts, cooking recipes, knitting patterns, you name it.Even though CLMs specialize in a particular domain, they are still b...
Speech Recognition: How You Can Talk to Your Chatbot | by Visor.ai | May, 2021
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Speech Recognition: How You Can Talk to Your Chatbot | by Visor.ai | May, 2021

The ability to audio communicate with a chatbot is due to a technology called Speech Recognition, and this is what we will talk about in this article.If you were curious and want to know how this feature benefits chatbots, read on!There was a time when having robots help you with certain tasks was just something out of a movie. Yet, faster than we thought, chatbots appeared. And after a while, those same chatbots evolved and started talking to us and us with them.Speech Recognition is a branch of Computer Science and Computational Linguistics. It’s a field that develops methodologies that allow computers to translate speech inputs into written text.In addition to Speech Recognition, this technology is also known as Speech Recognition, ASR (Automatic Speech Recognition), Computer Speech ...