Questions tagged [speech-recognition]

For questions related to speech recognition, also known as automatic speech recognition (ASR), computer speech recognition or speech to text (STT), which is a sub-field of computational linguistics that enables the recognition and translation of spoken language into text by computers.

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What is the fastest speech to text system with a decent WER?

I am curious about the current fastest STT system that has a decent word error rate (WER). I searched in the literature but did not succesfully find a paper/website that compared the speed of ...
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How to train a FCNN with audio spectrogram images?

I'm working on an audio dereverberation deep learning model, based on the U-net architecture. The idea of my project came from image denoising with autoencoders. I feed the reverberated spectrogram to ...
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How to align or synchronize Youtube caption with audio accurately

I need to use the automatic caption from Youtube to precisely isolate excerpts from the video aligned to text and generate the dataset to train a model in French. So I've already written the script, ...
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About trying simulating the Autism brain activities by AI Models

I am trying to simulate the below Autism simulation's video by AI models, the scenario could be seen in the below sense of the video: In my hypothesis the visual part of the brain is bombarded by the ...
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What is the difference between the "equal error rate" and "detection cost function" metrics?

I was designing a multi-speaker identification model, so I searched for some metrics that one may use. I found two metrics: EER (equal error rate) DCF (detection cost function) What is the ...
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Speech diarization for a conversation detector: A good idea or not?

I am trying to write a program in which an ai can detect whether a conversation is occurring or not. The ai does not need to transcribe words or have any meaning about the conversation, simply if one ...
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Looking for help on initializing continuous HMM model for word level ASR

I have been studying HMM implementation approaches on ASR for the last couple of weeks. This probabilistic model is very new to me. I am currently using a Python package called Pomegranate to ...
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Determining observation and state spaces for viterbi algorithm in a simple word recognition system using HMM

The system I'm trying to implement is a microcontroller with a connected microphone which have to recognise single words. the feature extraction is done using MFCC (and is working). the system have ...
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speech comment detection by deep speech mozilla for data set [closed]

I want to create a system so that when a human being says a word or command through a microphone, such as "shut down", the system can execute that command "shut down". I used the ...
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How do AIs like Siri and Alexa respond to their names being called?

AIs like Siri and Alexa respond to their names being called. How does the system recognize the name by ignoring all the other words that have been said before their name? For example, "Hey Siri&...
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Studying the speech-generation model and have question about the confusing nature of model input and outputs

I am currently studying this model speech generation known as WaveNet model by Google. https://arxiv.org/pdf/1609.03499.pdf using the linked original paper and this implementation. I find the model ...
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Can transformer be better than RNN for online speech recognition?

Does transformer have the potential to replace RNN end-to-end models for speech recognition for online speech recognition? This mainly depends on accuracy/latency and deploy cost, not training cost. ...
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How do I train a multiple-speaker model (speech synthesis) based on Tacotron 2 and espnet?

I'm new to Speech Synthesis & Deep Learning. Recently, I got a task as described below: I have problem in training a multi-speaker model which should be created by Tacotron2. And I was told I can ...
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Speaker Identification / Recognition for less size audio files

I am working on speaker identification problem using GMM (Gaussian Mixture Model). I have to just identify one user present in the given audio, so for second class noise or silent audio may use or not ...
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413 views

How to use AI for language recognition?

Given an audio track, I'm trying to find a way to recognize the audio language. Only within a small set (e.g. English vs Spanish). Is there a simple solution to detect the language in a speech?
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What is the difference between Kaldi and DeepSpeech speech recognition systems in their approach?

I would like to know how do Kaldi and DeepSpeech speech recognition systems differ algorithmically? Which one would be more accurate for continuous speech in time?
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Are there any good ways of simultaneously incorporating object detection with speech recognition?

Are there any good ways of simultaneously incorporating object detection with speech recognition? For example, if you want to identify whether an animal is a dog or cat, we can obviously use visual ...
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1 vote
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151 views

Keyword spotting with custom keywords and why not use speech recognition instead

My question regards performing keyword spotting for custom keywords and justifying the use of keyword spotting models instead of speech recognition. I have been doing some searching around Keyword ...
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Is there a detailed description or implementation of an end-to-end speech recognition system?

I am currently trying to implement an end-to-end speech recognition system from scratch, that is, without using any of the existing frameworks (like TensorFlow, Keras, etc.). I am building my own ...
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3 votes
1 answer
920 views

How does the CTC loss work?

I am trying to implement CTC loss in TensorFlow, but their documentation is pretty limited. So I am not sure how to approach the problem. I found a good example in Theano. Are any other resources that ...
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2 votes
3 answers
142 views

Has there been research done regarding processing speech then building a "speaker profile" based off the processed speech?

Has there been research done regarding processing speech then building a "speaker profile" based off the processed speech? Things like matching the voice with a speaker profile and matching speech ...
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