Automatic Speech Recognition (ASR) plays a crucial role in voice-based applications. For applications requiring real-time feedback like Voice Search, streaming capability becomes vital. While LSTM/RNN and CTC based ASR systems are commonly employed for low-latency streaming applications, they often exhibit lower accuracy compared to state-of-the-art models due to a lack of future audio frames. In this work, we focus on developing accurate LSTM, attention, and CTC based streaming ASR models for large-scale Hinglish (a blend of Hindi and English) Voice Search. We investigate various modifications in vanilla LSTM training which enhance the system's accuracy while preserving its streaming capabilities. We also address the critical requirement of end-of-speech (EOS) detection in streaming applications. We present a simple training and inference strategy for end-to-end CTC models that enables joint ASR and EOS detection. The evaluation of our model on Flipkart's Voice Search, which handles substantial traffic of approximately 6 million queries per day, demonstrates significant performance gains over the vanilla LSTM-CTC model. Our model achieves a word error rate (WER) of 3.69% without EOS and 4.78% with EOS while also reducing the search latency by approximately ~1300 ms (equivalent to 46.64% reduction) when compared to an independent voice activity detection (VAD) model.

Search Engine Optimization (SEO) is a critical aspect of digital marketing, and the use of Artificial Intelligence (AI) technologies like ChatGPT can help search marketers improve their SEO efforts. ChatGPT, a large language model developed by OpenAI, can be leveraged by search marketers in various ways to enhance their SEO strategies. Content creation: ChatGPT can be used to generate high-quality, unique, and relevant content for a website or blog. By providing ChatGPT with a topic or keyword, it can generate an article or blog post that is optimized for SEO. This can save search marketers significant time and effort in creating and optimizing content.

Foundation models (FMs), that are trained on broad data at scale and are adaptable to a wide range of downstream tasks, have brought large interest in the research community. Benefiting from the diverse data sources such as different modalities, languages and application domains, foundation models have demonstrated strong generalization and knowledge transfer capabilities. In this paper, we present a pioneering study towards building an efficient solution for FM-based speech recognition systems. We adopt the recently developed self-supervised BEST-RQ for pretraining, and propose the joint finetuning with both source and unsupervised target domain data using JUST Hydra. The FM encoder adapter and decoder are then finetuned to the target domain with a small amount of supervised in-domain data. On a large-scale YouTube and Voice Search task, our method is shown to be both data and model parameter efficient. It achieves the same quality with only 21.6M supervised in-domain data and 130.8M finetuned parameters, compared to the 731.1M model trained from scratch on additional 300M supervised in-domain data.

With the ability to create new devices, platforms, and experiences on the horizon, web designers will be working hard to make sure they're at the forefront of innovation Web Designing in 2023 is going to be amazing! Technologies are going to advance and change so much, which is why it's important for web designers to stay up to date with the latest trends. Let's talk about each of these trends in more detail. In 2023, immersive design will be super important! Because most web users access the internet on their phones or tablets these days, a lot of websites are not optimized for mobile screen sizes.

Artificial intelligence (AI) is something that you've probably heard of if you haven't lived under a rock in a while. But how can artificial intelligence be used to improve e-commerce? Artificial Intelligence (AI) is changing every aspect of our lives. Artificial intelligence is used to some extent in self-checkout cash registers and airport security checks. Already, e-commerce companies use AI to better understand their customers, increase revenue and provide better customer service to current clients.

What Are The Digital Marketing Trends You Should Continue? Take your digital marketing efforts today to the next day to get known more in the future. Here are the digital marketing trends you should keep doing. For the last few decades, the world has gone through many changes, and the most significant one is the internet. When the internet became accessible and available to the general public, it removed all communication barriers as more people gained internet access.

The marketing landscape is, as always, in a state of flux. Last year's most important trends have not even matured yet and everyone is already jumping on the latest hype bandwagon. So which developments are really fundamental? What do you really need to take into account when drawing up and fine-tuning your marketing strategy? We have done our research and compiled a list of the trends we want to consider for ourselves and our customers in 2022. What is fundamentally changing in the field of marketing?

The march of time is inevitable. Whether the horse and buggy are replaced by the automobile or the slide rule is replaced by the calculator, everything eventually becomes obsolete. And if you listen to the rumors, this time around, it's search engine optimization. Rest in peace, SEO: 1997-2022. SEO is still alive and kicking. It's just as relevant today as it has ever been.

Meet the OLA security camera: a voice activated AI security camera with face recognition that can tell strangers from familiar people. It can alert you to any fall, cry, or glass breaking. With voice activated search, Ola can find you specific events faster. OLA has day and night body detection. With body movement analysis, it can read aggressive or dangerous behavior.

Oxford Languages defines AI as the theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. For those of us working in the realm of digital marketing, the impact has become even more clear over the last few years. To put things into perspective, 61% of marketers say AI is the most important aspect of their data strategy, according to MemSQL. Have you ever searched for a particular product and then all advertisements you see after that search are for similar products? The power of DMPs (Data Management Platforms) allows AI to gather data from across the Internet – not just a particular website.