Search Results for "speech analysis" - Page 4
Sort By:
Showing 90 open source projects for "speech analysis"
View related business solutions-
$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
-
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
-
1
festival-te synthesizes text in Telugu language into speech using Festival TTS. The package provides the supporting modules required to use festival for Telugu. It includes modules for text/lexical analysis and intonation/duration prediction for Telugu.
-
2
This tool is for Nuance developers who wish to analyze the results of Nuance's batchrec program. It reads in the results of a Nuance batch recognition run, calculates WER using sclite, and stores the results in a database for subsequent analysis.
-
3
Italian labeled digits corpus, good for speech recognition. Corpus di cifre italiane segmentato, adatto a esperimenti di riconoscimento vocale e riconoscimento fonetico.
-
4
AutoSummary uses Natural Language Processing to generate a contextually-relevant synopsis of plain text. It uses statistical and rule-based methods for part-of-speech tagging, word sense disambiguation, sentence deconstruction and semantic analysis.
-
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
-
5
The purpose of this project is to provide a biometric security solution by using voice print, fingerprint and/or facial recognition along with a password and/or smart card support using AES to protect data. Please read forums for if interested.
-
6
SAA (SSPLab Audio Analyzer) It will be able to separate sources, recognize speech and analyze the auditory scene. It can also synthesize spatialised sounds from mono recording, edit, analyze via spectrogram, filter and re-sample signals.
-
7
-
8
Web Textual eXtraction Tools C++ Parallel web crawler, noun phrase idenification, Multi-lingual Part of Speech Tagging, Tarjan's Algorithm, Co-RelationShip Mappings...
-
9
jATLAS is a Java implementation of ATLAS [Architecture and Tools for Linguistic Analysis Systems]. For more information, see http://jatlas.sourceforge.net.
-
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
-
10
Find the pitch of a power spectrum (signal) as per the afferent/efferent neural crossover. This occurs between the Lateral olivocochlear efferents and the inner hair cell afferents.
-
11
ViGiL is supposed to be a platform-independent tool for singing students. In it's final version it should be able to analyze a voice recording (read from audio file or microphone) and compare it to a given score according to melody, rhythm and dynamics.
-
12
Sound and speech editor. Sound data analysis and transform tool. Used for speech analysis, labelling and speech synthesis inventory creation.
-
13
Idi is a voice recognition program intended to help people with physical disabilities to use a keyboard by dictating. It can also be used as a way to remote control your computer or as a nice way to type in your bath.
-
14
This is a project to create a compiler that converts grammars written in SRGS standard (http://www.w3.org/TR/speech-grammar/) to a graph understandable by HMM based ASR engines. Check srgs-parser.sf.net
-
15
mms-300m-1130-forced-aligner
CTC-based forced aligner for audio-text in 158 languages
...Users can integrate it easily through the Python package ctc-forced-aligner, and it supports GPU acceleration via PyTorch. The alignment pipeline includes audio processing, emission generation, tokenization, and span detection, making it suitable for speech analysis, transcription syncing, and dataset creation. This model is especially useful for researchers and developers working with low-resource languages or building multilingual speech systems.