Questions tagged [speech-recognition]
Translation of spoken words into text, usually with the help of computers.
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Determining how similar audio is to human speech
I was suggested to cross post this question of mine from Stack Overflow. Hopefully my question is within the bounds of this question board!
I am searching for a method of determining the similarity ...
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Computational linguist's estimate of minimum hours of speech needed to train a neural net to recognize speech
From a computational linguist's point of view, is there a lower limit on the number of hours of speech needed to train a neural net to translate speech to text? An estimate from CMU is 3000-5000 hours ...
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To what extent is aural language comprehension based on a post-processing model, and what are the factors involved?
It occurred to me that what we hear and interpret as speech is often an inarticulate garble of phonemes that native speakers process with lightning speed (usually) to come up with a clear and specific ...
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What does "parsimonious representation" mean in the context of speech recognition?
I was studying about LPC (Linear Predictive coding) and in this topic the author was explaining the reasons why LPC is used widely for speech recognition system. One reason he gave was this:
The ...
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Are there any free tools to integrate in apps for evaluating speech on a word level?
I want to give the sound of a word and ask the user to repeat it.
In the app, I want to be able to check the accuracy of the user's speech and give him feedback on whether he said it correctly or not.
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Speed listening
I have just heard that there are people out there (mostly blind people) using screen readers at overspeed, achieving speech rates twice as high as usual, and even higher.
What I want to know is: Are ...
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How does Microsoft speech recognition API compare with Google Cloud Speech API in terms of speech recognition accuracy?
How does Microsoft speech recognition API compare with Google Cloud Speech API in terms of speech recognition accuracy (e.g., in terms of word error rate, character error rate (CER), or sentence error ...
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Speech Recognition: prosody. What is the difference between combined and intergrated models?
I am readin a paper about dialogue modelling and the identification of dialogue acts using prosody. The paper describes 2, maybe three types of model for utilizing the speech signal: a separate, ...
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Which datasets can I use to train a medical speech recognition system?
So far I found:
ezDI Medical Dictation Dataset (16h)
https://www.kaggle.com/datasets/paultimothymooney/medical-speech-transcription-and-intent (8h)
Which other datasets can I use to train a medical ...
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Why does Whisper ASR sometimes have a really bad output?
The Whisper ASR is a very accurate speech recognition system, on average. But in some rare cases, it has very bad output.
E.g.:
ground truth
whisper output
seven
damn it!
her jewelery shimmered
Hey,...
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What's the state-of-the-art tool for ASR (automatic speech recognition) Error Detection?
ASR Error Detection = automatically detect erroneous words in ASR output.
The survey {1} was published 4 years ago. {2} didn't release their implementation.
References:
{1} Errattahi, Rahhal, Asmaa ...
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What's the state-of-the-art, word-level forced alignment tool that is ok to use commercially?
Forced alignment = synchronize audio and text. I'm looking for word-level forced alignment.
I see many forced alignment tools:
https://github.com/topics/forced-alignment
https://github.com/pettarin/...
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Does a voice activated conversation with an AI constitute as natural speech?
Since AI bots fulfil all the requirements of speech, but don't fulfil the criteria of 'natural speech' production since it wasn't done impromptu and wasn't developed naturally, do you guys think that ...
