Customer-obsessed science

Semantic Sourcing is a well-studied area in web and product search to improve the quality of search results. In the context of Semantic Sourcing in e-commerce search, transformer-based models like BERT (fine-tuned for relevance) can be used to encode the representation of queries into a semantic space where the semantically equivalent entities (i.e., queries for Query Reformulation (QR) or products for

Duration modelling has become an important research problem once more with the rise of non-attention neural text-to-speech systems. The current approaches largely fall back to relying on previous statistical parametric speech synthesis technology for duration prediction, which poorly models the expressiveness and variability in speech. In this paper, we propose two alternate approaches to improve duration

Reducing the Annualized Replacement Rate (ARR) of a product brings a two-fold benefit to its sustainability impact. Firstly, it reduces the warranty stockpile and therefore a lower carbon footprint required to fulfill warranty replacements. Secondly, it extends the lifetime of the product, which reduces the overall carbon footprint every year during use. This paper discusses a methodology to quantify the

Identification of the language of performance of songs is important for applications such as personalized recommendations, discovery, and search. In this paper, we present an automated multimodal approach to identify the singing language of songs that scales to millions of songs. The proposed model uses a variety of song-level features, including a consumption embedding derived from sessions listening data

We review current solutions and technical challenges for automatic speech recognition, keyword spotting, device arbitration, speech enhancement, and source localization in multi-device home environments to provide context for the INTERSPEECH 2022 special session, “Challenges and opportunities for signal processing and machine learning for multiple smart devices”. We also identify the datasets needed to