A context encoder is added to the factorized neural transducer which encodes long-form transcription history for generating a long-form context embedding, such that the factorized neural transducer is further configured to perform long-form automatic speech recognition, at least in part, by using the...
While individual automatic speech recognition (ASR) and text summarization methods already exist, they are imperfect technologies; neither consider user purpose and intent nor address spoken language induced complications. Consequently, we design a two stage ASR and text summarization pipeline and pro...
While individual automatic speech recognition (ASR) and text summarization methods already exist, they are imperfect technologies; neither consider user purpose and intent nor address spoken language induced complications. Consequently, we design a two stage ASR and text summarization pipeline ...
An end-to-end (E2E) speaker-attributed automatic speech recognition (SA-ASR) model was proposed recently to jointly perform speaker counting, speech recognition and speaker identification. The model achieved a low speaker-attributed word error rate (SA-WER) for monaural overlapped speech comprising ...
This error occurs both with AutomaticSpeechRecognitionPipeline and WhisperForConditionalGeneration. Here, I propose a solution to make it work with WhisperForConditionalGeneration. With this PR, the following code snippet should give the right output: import numpy as np import json from transformers im...
Recognizing long-form speech using streaming end-to-end models All-neural end-to-end (E2E) automatic speech recognition (ASR) systems that use a single neural network to transduce audio to word sequences have been show... A Narayanan,R Prabhavalkar,CC Chiu,... - arXiv e-prints 被引量...
This model was pre-trained on 4.5M hours of unlabeled audio data covering more than 143 languages. It requires finetuning to be used for downstream tasks such as Automatic Speech Recognition (ASR), or Audio Classification. Add new meta w2v2-conformer BERT-like model by@ylacombein#28165 ...
MXL Microphones’ AC-44 offers crystal clear speech intelligibility in a compact design for applications that require accurate voice recognition with limited installation space such as huddle rooms, conference rooms and video meetings. With a footprint measuring only 2.5x3-inches, and 1-inch tall, ...
Medium’s new terms of service explicitly forbade many actions that, until that point, had been frowned upon but generally permitted. This included doxxing, hate speech, overt threats of violence, and revenge porn. Medium itself hadn’t wrestled with these problems to the same extent as T...
The method trains the speech recognition model to minimize word error rate based on the respective number of word errors identified for each speech recognition hypothesis obtained for the training utterance.