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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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How can I train AI to learn how to recognize highly impaired speech from a dystonic person? [closed]

Speech recognition AI generated technology for impaired speech recognition.
Nelson's user avatar
  • 1
0 votes
1 answer
771 views

With the various text-to-speech tools out there, it possible to achieve the transcript accuracy of Whisper, with the timestamp accuracy of Vosk?

I need to transcript some speech files. I've played around with a number of tools and I found that: OpenAI Whisper transcribes speech with absolute accuracy. It's even more accurate than me. However ...
Blue Nebula's user avatar
0 votes
0 answers
9 views

Is mobile-phone speech-recognition geographically/dialect weighted?

When I pronounce the English word "sir" as it is pronounced here, which is American English (at least when I visit that page) my mobile phone thinks I'm saying the name "Sarah" ...
TimR's user avatar
  • 101
1 vote
0 answers
57 views

SOTA speech-to-text model for commercial use with access to internal states

I am looking for a speech-to-text model that is available for commercial use (such as Whisper and Chirp) of which full access to the model is possible and performs (near) SOTA. I would like to be able ...
maxcompression's user avatar
0 votes
0 answers
21 views

Small language model vocabulary correction

I plan to train a small language model (less than 4B parameters) that can run on x86 and handle vocabulary correction such as: ...
Jeff Brower's user avatar
3 votes
2 answers
1k views

What is a beam?

For example, faster-whisper's transcribe function takes an argument beam_size: Beam size to use for decoding. What does "...
Geremia's user avatar
  • 173
0 votes
2 answers
82 views

How is speech recognition software able to distinguish between different speakers and yet still understand them all?

Some background: I'm an EE major and data science minor, so I have a basic understanding of machine learning - I had a one semester course on it where we covered some of the most commonly used ...
Mikayla Eckel Cifrese's user avatar
0 votes
0 answers
55 views

Feature extraction from log-mel spectrograms using CNNs

I am currently working on an ASR-related project in which I would like to combine Convolutional Neural Network with GRU Network and CTC loss function. The idea is to use the CNN to extract ...
conyai's user avatar
  • 1
1 vote
0 answers
35 views

What is the number of channels of input audio mel spectrogram?

What is the number of channels of input audio mel spectrogram? For example, in CV we always have 3 input channels on RGB picture. But what about audio?
randomuser228's user avatar
7 votes
2 answers
499 views

Term for algorithms that are not trained

Before the advent of neural architectures, many AI domains (e.g. speech recognition and computer vision) used algorithms that consisted of a series of hand-crafted transformations for feature ...
Mew's user avatar
  • 181
4 votes
2 answers
6k views

Open-source vocal cloning (speech-to-speech neural style transfer)

I want to program and train a voice cloner, in part to learn about this area of AI, and in part to use as a prototype of audio for testing and getting feedback from early adopters before recording in ...
emonigma's user avatar
1 vote
0 answers
47 views

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, ...
Cara Duf's user avatar
0 votes
2 answers
921 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 ...
Kais Hasan's user avatar
0 votes
0 answers
45 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 ...
Arnav Kartikeya's user avatar
1 vote
0 answers
24 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 ...
Zander's user avatar
  • 11
0 votes
0 answers
127 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 ...
Tirdad Sadri Nejad's user avatar
-1 votes
1 answer
86 views

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 ...
reza's user avatar
  • 1
4 votes
1 answer
808 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&...
Sarem Hailemeskel's user avatar
0 votes
1 answer
47 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 using the linked original paper and this implementation. I find the model very confusing in the input it takes and ...
Joe Black's user avatar
  • 181
3 votes
1 answer
457 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. ...
jw_'s user avatar
  • 199
2 votes
0 answers
586 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 ...
Envelo Lee's user avatar
3 votes
0 answers
137 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 ...
Posi2's user avatar
  • 368
2 votes
1 answer
514 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?
Mary's user avatar
  • 973
2 votes
1 answer
3k 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?
Hanu's user avatar
  • 31
1 vote
1 answer
98 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 ...
NebulousReveal's user avatar
1 vote
0 answers
234 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 ...
MattSt's user avatar
  • 597
2 votes
0 answers
32 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 ...
Jaswin's user avatar
  • 121
4 votes
1 answer
2k 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 ...
user26787's user avatar
2 votes
3 answers
148 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 ...
Tory's user avatar
  • 175