Questions tagged [speech-to-text]

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12 views

Split text into phrases of a person and an operator

I have about 5,000 texts without punctuation marks. Each text is a conversation between an operator and a person. For example: "Hello hello how can I help you how can I find out how much money I have ...
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1answer
21 views

Conv1D specify output chanels in tensorflow 2.1

Hello I'm trying to implement the "Tacotron Towards end to end" paper and in the Encoder CBHG - a Conv1D bank of K=16, conv-k-128-ReLU “conv-k-c-ReLU” - denotes 1-D ...
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1answer
32 views

Detection of anomal data in the text

I work with texts where there is a dialogue between two people (a client and a call center employee, the beginning and end of each person’s phrase is not defined). My goal is to classify texts in ...
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0answers
14 views

Why gaussian assumption in GMM-HMM ASR?

I am reading a book titled "Speech and Language Processing" by Daniel Jurafsky and James . For Acoustic vector , I would like to know why Gaussian assumption is made ? I searched over net and could ...
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2answers
26 views

Creating pronunciation dictionary for ASR

I am working on ASR(automatic speech recoginition) on Somali data as master thesis and now I am stuck with how to create a phonetics or pronunciation dictionary for it. I searched over net and could ...
2
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1answer
25 views

GMM in speech recoginition using HMM-GMM

I am trying to solve/understand ASR using HMM-GMM. At the abstract level i do understand what's happening but I did not understand how GMM fits into it. My data has 5K hours of speech from single ...
3
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1answer
79 views

ASR on low dataset

I am doing an ASR(automatic speech recognition) as master thesis on low key dataset. Voice and text data is labelled. There are around 4000 phrases and around 5 hours speech. I don't have background ...
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2answers
44 views

where to start in natural language processing for a language

My native language is a regional language and few people speak it. I have some assignements in a machine learning course and i was thinking about doing some natural languge processing on my native ...
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0answers
23 views

Representing and Training Individualized Models

Say I want to create a handwriting OCR or speech-to-text system intended for many users. A first pass might be to train a single one-size-fits-all model on all available data to predict all users' ...
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2answers
76 views

Training an acoustic model for a speech-to-text engine

What are the steps for training an acoustic model? The format of the data (the audio) includes its length and other characteristics. If anyone could provide a simple example of how to train an ...
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1answer
34 views

What to use in setting up a Speech to Text engine in production?

So i have the task to study the feasability of setting up a Speech-To-Text engine in a production environnement, and i've been researching on this topic, so I tried Google's Speech-To-Text API and ...
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1answer
41 views

Segment 5-7 min audio into sentence wise audio clips for creating speech recognition dataset

I am trying to create a speech recognition dataset especially for Indian Accents. I am taking from colleagues to build this. Daily i send a article link and ask them to record and upload to google ...
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1answer
53 views

Can I create a good Speech Recognition Engine while having millions of recorded conversations?

I have at my disposal millions of wav files containing recorded conversations between employees and clients, i'm doing some research on the possibility of creating a good speech recognition engine. I'...
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1answer
38 views

Opensource Speech Recognition Library that is secure and trained on large data [closed]

For all those who are working on developing a chatbot/assistant and care about the privacy of users consuming the speech recognition library, can you suggest an open souce library which is trained on ...
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0answers
52 views

Why are observation probabilities modelled as Gaussian distributions in HMM?

HMM is a statistical model with unobserved (i.e. hidden) states used for recognition algorithms (speech, handwriting, gesture, ...). What distinguishes DHMM form CHMM is the transition probability ...
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0answers
39 views

Representing output label for character level speec recognition using RNN

I saw this tutorial on generating text using LSTM. In this tutorial the author trained the network by taking 100 previous characters as input and the next character as the output label. I am ...
2
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1answer
238 views

Validation loss is less than training loss by 5 units. How this result is interpreted?

Iam training a Keras model for end-to-end speech recognition. I have my own dataset of speech containing about 400 wave files. Text transcriptions is also given as input. Model summary is: ...
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2answers
4k views

How to convert a mel spectrogram to log-scaled mel spectrogram

I was reading this paper on environmental noise discrimination using Convolution Neural Networks and wanted to reproduce their results. They convert WAV files into log-scaled mel spectrograms. How do ...
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1answer
306 views

How can I create a space in IBM Cloud?

I want to try the IBM speech to text API. I created an IBM cloud account and went to https://console.bluemix.net/catalog/services/speech-to-text. I see the error message: Please create a space in ...