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.

Filter by
Sorted by
Tagged with
0
votes
1answer
37 views

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 ...
0
votes
0answers
12 views

How to Approach a Conversation Detector?

I am currently looking for a way to detect if a conversation is occurring. The meaning of the conversation is not important for this case. One approach that seems viable is to try to detect a voice ...
0
votes
0answers
13 views

What is the recommended metric to use for Multi-Speaker Identification?

I was designing a model for multi-speaker identification and I was wondering what is the best/recommended/or widely used metrics for this task? I search a lot and found many results for speaker ...
0
votes
0answers
20 views

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 ...
1
vote
0answers
12 views

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 ...
0
votes
0answers
96 views

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 ...
0
votes
1answer
73 views

speech comment detection by deep speech mozilla for data set

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 ...
0
votes
0answers
7 views

Discerning sentence boundaries in speech-to-text of long paragraphs

This seems like it'd be a common issue in speech to text systems (but I'm not very familiar with the area): If you're speaking long paragraphs, it's hard to discern sentence boundaries (e.g. if I ...
0
votes
0answers
36 views

What is the best approach for phrase detection in speech audio?

I ultimately want to build an application like this: Inputs: a list of written phrases of 1-5 words each a bunch of audio files like mp3, with total duration in the 100 to 1000 hours range, and ...
0
votes
0answers
21 views

Why does the RNN-T beam search algorithm need to loop over the prefixes of y

I'm looking at the beam search psuedo code for the RNN-T decoder https://arxiv.org/pdf/1211.3711.pdf Why are lines 5-7 needed?
4
votes
1answer
768 views

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&...
0
votes
1answer
32 views

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 ...
2
votes
1answer
175 views

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. ...
2
votes
0answers
299 views

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 ...
3
votes
0answers
124 views

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 ...
2
votes
1answer
326 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?
2
votes
1answer
2k views

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?
1
vote
1answer
71 views

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 ...
1
vote
0answers
128 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 ...
2
votes
0answers
30 views

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 ...
3
votes
0answers
75 views

Training, test, dev split in speech recognition

Unfortunately there is no speech-recognition or speech-to-text tag yet so I go with the ...
3
votes
1answer
973 views

Speech recognition software implementation by open-source API [closed]

I am making my speech recognition project for PC (working on Windows 8) and am new in this area. The project should have basic functionality, like dictation with accuracy in an e-mail, notepad, etc., ...