Our expertise in Speech Recognition Services
Out of many disruptive technologies, communicating with machines is one of the most fascinating technology. With the power of popular online cognitive service providers like IBM Watson, we enable the machines to listen and speak to humans and other machines. We are experts in evaluation, integration and customization of many popular online cognitive services.
What are Cognitive Services
Cognitive Services are collection of machine learning algorithms hosted over cloud that solve problems related to Artificial Intelligence. One of the most exciting parts of cognitive services is Speech recognition. Popular services provide APIs enabling us to add speech recognition capabilities to our application. This simply converts voice/audio into written text that aids quick understanding of content.
Speech recognition services have a plethora of professional and casual uses. Some of the use cases includes: voice control over apps, devices and accessories, transcriptions of meeting notes and conference calls in real-time and automated classification of phone calls.
Speech to Text and
Apply powerful neural network models to your audio for unparalleled accuracy. The accuracy improves over time as technology advances.
- IBM Watson
- Amazon Transcribe
- Google Speech API
- Azure Cognitive services - Speech to Text for Microsoft
- Vocapia Speech to Text API
Watson Cognitive Services
IBM Watson Speech to Text API aids understanding of content by converting voice and audio into written text. Alternatively, the IBM Watson Text to Speech service offers an API that uses speech-synthesis capabilities by IBM to arrange text into synthesize text into natural-sounding speech. It supports an array of dialects, voices and languages.
Generates accurate transcriptions by applying grammar, language structure and composition guidelines to audio signals.
IBM Watson Text to Speech API is Capable of identifying and registering more than one speaker with accuracy and confidence.
Custom Model support
For improved accuracy the API can be customized for the preferred language and content such as names of individuals, sensitive subjects or product names.
IBM Watson Speech to Text provides meaningful analytics by transcribing and analyzing audio from a microphone in real-time to pre-recorded files.
Support for Multiple
The IBM Watson Speech to Text Service with its speech recognition capabilities automatically transcribes Arabic, English, Spanish, French, Brazilian Portuguese, Japanese, and Mandarin speech into text.
Multiple Audio Formats
Identifies and transcribes discussions with precision, even if the audio quality is low. Supports multiple audio formats (.mp3, .mpeg, .wav, .flac, or .opus) and programming interfaces (HTTP REST, Asynchronous HTTP, Websocket)
Context and Custom
Watson Natural Language Understanding identifies and analyzes text to drive meta-data from content such as keywords, concepts, categories, entities, semantic roles and relations.
For more personalized services, following three Watson Cognitive Services API’s can be used:
IBM Watson Personality
Predicts the needs, values and personality characteristics of an individual, by extracting information from their digital communications, social media and written text.
IBM Watson Tone
Detects three types of language tones, using linguistic analysis from text: social tendencies, emotional state and language style.
IBM Watson Emotion
A fraction of the Alchemy Language API, is useful in measuring the emotions of an individual by analysing his or her writing.
Azure Cognitive Services
Azure Speech to Text equipped with tone analyzer transcribes audio to text and converts it back to speech for natural responses.
Azure Cognitive Services can be customized to turn on and recognize audio coming from a microphone or any other real-time audio source, and even audio from within a file.
Azure Speech to Text recognizes and transcribes audio in a number of languages in interactive and dictation modes.
Azure Custom Speech Service supports three modes of recognition: dictation, conversation and interactive. Its recognition mode adjusts speech recognition based on how the users are likely to speak. Depending on their need, users can select the appropriate recognition mode.
Azure Cognitive Services, with a single API call enables users to search carefully and systematically billions of images, videos, webpages and news.
Google Cloud Speech
Wide Array of Languages Supported
Google Cloud Speech API is supportive of a global user base as the API is capable of recognizing over 110 languages and variants.
Real-time Conversation Support using gRPC
Google Cloud Speech API using gRPC recognizes, streams and shares text results in real-time i.e immediately while speaking. The process remains the same for audio stored in a file.
Multiple Audio Formats Supported
Google speech to text transcribes audio input from pre-recorded to real-times sources and supports multiple audio encodings such as FLAC, PCMU, Linear-16 and AMR.
Easy to use, Google Cloud Speech API applies powerful neural network models to convert audio to text. Google Cloud Speech API facilitates integration of Google speech recognition into developer applications. Developers can send audio and receive transcription in text from the Google Cloud Speech API service.
Good Accuracy Google speech to text uses advanced neural network algorithms for speech recognition. Users should expect enhanced accuracy as Google Speech Recognition technology advances. Developers can also benefit from Google Natural Language Processing that carries out entity analysis, sentiment analysis, syntax analysis and content classification.
Noisy Background or
bad audio quality
For improved Accuracy of the results, the quality of the environment has to be monitored such as the placement of the recording device, phone for in-calls and acoustics of the room. The API is sensitive to noisy background and bad quality audio.
Speech Overlap During
With people speaking at the same time, it becomes difficult to recognize and transcribe speech.
The API transcribes audio as it recognizes it, causing spoken words to lose context.
Limited capabilities in drawing classification of non-native speakers.
Conversations that Matter
Web application to make your conversations smarter, intelligent and more productive with the use of Machine Learning, Artificial Intelligence and NLP technological concepts.Read Case Study --
Standard Chartered Bank
A suite of innovative productivity apps to make employees happier.Read Case Study --
Secure, wireless alert management system used by Fortune 500 companies, governmentsâ€™ healthcare providers and emergency services.Read Case Study --
Bitzer (Acquired by Oracle)
A secure, multi-platform (Blackberry, iOS, Android) native mobile app for accessing enterprise data.Read Case Study --
An award winning, Sencha based cross platform app for the Public Authority for Consumer Protection.Read Case Study --
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A Sencha-based solution for the quality management of animal feed yards in the bovine industry. The app facilitates the management of the feed yard’s day to day quality assurance activities, SOPs & maintenance.Read Case Study --
Pig Program App
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Developed two cutting-edge Android apps for easy management of the mPower 1000 – Robotic arm.Read Case Study --
First Republic Bank
Two custom mobile apps to facilitate employees to help serve customers better.Read Case Study --
Customer Support App
A one on one customer support app for the iPhone that connects consumers to businesses and enables consumers to provide their feedback and report issues/complaints directly to businesses via unstructured, instant messages and get follow-ups in the same manner.Read Case Study --
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Cloud Storage platform offering Disaster Recovery As a Service (DRAAS) functionality.Read Case Study --
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Automated mobile solution for agri-business companies that includes apps for produce traceability compliance, food safety and agricultural data collection and management.Read Case Study --
HipLink (Fakuda Denshi)
Development and deployment of Patient Monitoring Integration Systems for hospital patients to provide high quality healthcare solutions.Read Case Study --
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