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AudioMLProject1
Voice Activity Detection: In this first assignment, we will create a dataset that simulates speech in every-day scenarios. We train a classifier on this dataset for distinguishing voiced from non-voiced sections, a task called voice activity detection, VAD for short. This, of course, requires a ground truth in terms of VAD annotations.AudioMLProject3
Emotion recognition of Speaker's Speech Data. Employ speaker detection classifiers for emotion recognition, a multiclass classification problem. Emotion Classes: Happy, Sad, Neutral, Relaxed and AngryP2PSystemsProject
Handles call initiation, termination, call busy and waiting; Performs interaction with DHT (Distributed Hash Table) and KX (Key Exchange) modules. Generates pseudo-identities of callee, based on the DH (Diffe-Hellman) Key Exchange method and maintains session between caller and callee. Uses the RTP protocol to stream/exchange audio over the network reliably in real-time. Also performs self calling to mitigate profiling attacks.BagOfWordsModel
The bag-of-words model is a simplifying representation used in natural language processing and information retrieval (IR). In this model, a text (such as a sentence or a document) is represented as the bag (multiset) of its words, disregarding grammar and even word order but keeping multiplicity. Recently, the bag-of-words model has also been used for computer vision.[1] The bag-of-words model is commonly used in methods of document classification, where the (frequency of) occurrence of each word is used as a feature for training a classifier.ThriftParquetExample
This is a sample project which tests a Parquet implementation allowing writing of serialized Thrift objects into a Parquet file format. For more information refer to: www.parquet.ioAvroParquetExample
A project demonstrating the functionality of Avro and Parquet.dsalgojava
The repository holds the code in Java for various problems asked in a Software Engineering Interview for Product based companies like Facebook. Google, Amazon and Microsoft.Love Open Source and this site? Check out how you can help us