Speech Recognition Development

Technology that understands you – now you’re speaking my language!

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About Our Speech Recognition Development Company

Controlling the world around you by just using your voice feels futuristic, but the technology has been around for years. With speech recognition technology that delivers simpler and smarter designs, we can help you leverage this technology to make strides in your business.

Streamline, multitask, and ease communication with speech-to-text solutions perfect for your product’s environment. Complex design for seamless simplicity – we build speech recognition solutions as unique as the people using them.

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Speech Recognition Technology 101

We live in a noisy world. But what sounds are relevant for our consideration? Speech recognition software finds ways to map the acoustic signals of speech into word sequences, mapping patterns and attributing relevancy.

The complexity and contextual nature of spoken language require several sets of algorithms working in unison to interpret its meaning. Within this system, Markov Models provide a framework for mapping spectral vector sequences, Fourier Analysis can display the information within the audio waveform, and N-Grams give probabilistic prototypes of meaning when presented with a group of phonemes, words, or phrases.

Natural language processing (NLP) can be incredibly complicated. NLP software interprets the intentions behind complex language in much the same way human beings can by utilizing sophisticated models.

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Speech Recognition Development Services

Speech Recognition requires a combination of software development and a large amount of data to successfully train your program.

We have the knowledge, the experience, and the resources.

  • Cinque Terre
    Speech Corpus Collection

A Speech Corpus is a database of audio files and text transcriptions.

We can help you record, clean, and develop a speech corpus collection that takes into consideration all of the various factors that might influence your data; reading vs conversational, issuing commands to a device, multi-speaker conversations, and so forth. A quality speech corpus is critical for recognition accuracy.

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Unless your product will be used in the pristine silence of a recording studio, having acoustic noise-canceling capability will be essential for filtering out unwanted sound.

By using audio cleaning algorithms optimized for their specialized environment, we can improve your product’s recognition accuracy.

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Weighing acoustic cues, measuring the phonemic length of vowels, and conducting other language assessments can help speech recognition software adapt to the unique circumstances of its intended environment.

Our acoustic model training can aid this technology to better understand regional accents or unique intonations of speech.

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Adding value to relevant keywords, phrases, and patterns commonly heard within an environment can build a more intelligent inference engine for gauging intention.

Live data (like trending words on social media) can be incorporated to design speech recognition software that is adaptable to the ever-changing nature of contemporary language.

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Speaker labeling can be used to identify multiple speakers in a conference call, or undesirable phrases (like profanity) can be proactively filtered and blocked.

With in-depth industry insight and expertise in developing speech recognition features, our experts are apt at discovering the best solutions for your project.

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In many instances, the value of privacy can be difficult to overstate. Information may become vulnerable due to the numerous ways it can be accessed on public servers or made susceptible to other agents.

Salvo Software can help you develop your own private speech recognition system to host on your own private servers.

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Cinque Terre
Speech Corpus Collection

A Speech Corpus is a database of audio files and text transcriptions.

We can help you record, clean, and develop a speech corpus collection that takes into consideration all of the various factors that might influence your data; reading vs conversational, issuing commands to a device, multi-speaker conversations, and so forth. A quality speech corpus is critical for recognition accuracy.

Cinque Terre
Audio Cleansing Algorithms

Unless your product will be used in the pristine silence of a recording studio, having acoustic noise-canceling capability will be essential for filtering out unwanted sound.

By using audio cleaning algorithms optimized for their specialized environment, we can improve your product’s recognition accuracy.

Cinque Terre
Acoustic Model Training

Weighing acoustic cues, measuring the phonemic length of vowels, and conducting other language assessments can help speech recognition software adapt to the unique circumstances of its intended environment.

Our acoustic model training can aid this technology to better understand regional accents or unique intonations of speech.

Cinque Terre
Transcription Inferencing Engine

Adding value to relevant keywords, phrases, and patterns commonly heard within an environment can build a more intelligent inference engine for gauging intention.

Live data (like trending words on social media) can be incorporated to design speech recognition software that is adaptable to the ever-changing nature of contemporary language.

Cinque Terre
QA & Feature Development

Speaker labeling can be used to identify multiple speakers in a conference call, or undesirable phrases (like profanity) can be proactively filtered and blocked.

With in-depth industry insight and expertise in developing speech recognition features, our experts are apt at discovering the best solutions for your project.

Cinque Terre
Private Speech Recognition Server Development

In many instances, the value of privacy can be difficult to overstate. Information may become vulnerable due to the numerous ways it can be accessed on public servers or made susceptible to other agents.

Salvo Software can help you develop your own private speech recognition system to host on your own private servers.

Natural Language Processing Applied

Speech recognition software is already an indispensable part of life for millions of people. The speech recognition market was valued at $14.2 billion in 2020 and is forecasted to boom to $31.8 billion by 2025.

E-learning

E-learning

E-learning

Streaming speech recognition can enable real-time translation from a live audio stream. Note-taking and similar transcription tasks can be refined to help distinguish words from classroom noise or to better identify speakers.

IoT

IoT

IoT

Voice commands allow for smoother interactions with a variety of devices. IoT devices can manage your home, manage your schedule, track your activity, and assist you in your daily life. Voice commands make all of these operations easier.

E-Commerce

E-Commerce

E-Commerce

Customer service bots can be trained to investigate, analyze, and interpret customer inquiries in real-time to clarify questions and navigate their way towards resolutions.

How Speech Recognition Works

Using our own recording system near airports across the country, we captured communication between air traffic controllers and pilots, and used that to train an acoustic model for our speech recognition engine. In addition to the audio data, we also captured air traffic ADS-B information (the method by which air traffic communicates their position, speed, etc.).

Using our expertly curated speech corpus we developed a high accuracy recognition model for air traffic controller communication.

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Frequently Asked Questions

Humans have evolved to more easily distinguish voices amongst background noise. Before we are even born, our brains are already undergoing a process of linguistic programming. By the time we become adults, our native language ability feels automatic and simple. This is only because our DNA is built for that kind of learning, and it is an innate feature of our cognitive development. Identifying meaning from an audio signal is inherently complex. People communicate in various accents, pitches, and tones of voice. All of us have different speech patterns and methods of inflection. Environmental conditions only add further complexity, as speech recognition software must learn to discern between intentional speech and unintended signal noise. Even when someone is doing their best to clearly explain, and the environment is not adding any auditory distractions, language is still incredibly complex on its own. English alone contains a myriad of homophones like sail/sale and sell/cell; where meaning can shift wildly depending on context.

Yes. Though the two are often used interchangeably, they are different. Speech recognition has the objective of figuring out what is being said while voice recognition (aka speaker recognition) is trying to determine who is speaking. Salvo Software primarily focuses on speech recognition (like speech-to-text) rather than voice recognition.

All options are available. Ideally, your best choice is sourcing or creating a corpus collection specific to your own project, and refining that collection over time. We specialize in collecting robust speech corpora that can be used to train your own acoustic models. However, we also have existing speech corpora that can be used as a foundation for development. We can apply the method that makes the most sense for your project.

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