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Found 6 papers, 0 papers with code
1SPU: 1-step Speech Processing Unit
Recent studies have made some progress in refining end-to-end (E2E) speech recognition encoders by applying Connectionist Temporal Classification (CTC) loss to enhance named entity recognition within transcriptions.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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E2E Spoken Entity Extraction for Virtual Agents
In human-computer conversations, extracting entities such as names, street addresses and email addresses from speech is a challenging task.
Cross-stitched Multi-modal Encoders
In this paper, we propose a novel architecture for multi-modal speech and text input.
Seq-2-Seq based Refinement of ASR Output for Spoken Name Capture
Person name capture from human speech is a difficult task in human-machine conversations.
A Hybrid Approach to Scalable and Robust Spoken Language Understanding in Enterprise Virtual Agents
Spoken language understanding (SLU) extracts the intended mean- ing from a user utterance and is a critical component of conversational virtual agents.
Building Text-To-Speech Voices in the Cloud
The AT{\&}T VoiceBuilder provides a new tool to researchers and practitioners who want to have their voices synthesized by a high-quality commercial-grade text-to-speech system without the need to install, configure, or manage speech processing software and equipment. It is implemented as a web service on the AT{\&}T Speech Mashup Portal. The system records and validates users' utterances, processes them to build a synthetic voice and provides a web service API to make the voice available to real-time applications through a scalable cloud-based processing platform.
