There are no reviews yet. Be the first to send feedback to the community and the maintainers!
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 AngryAudioMLProject2
Speaker Detection: We have one target speaker whom we want to detect. The set of impostors is open, i.e., we have no prior information on the test speakers. An important part of the speaker detection pipeline is voice activity detection to filter out segments of the signal that do not contain speech.P2PSystemsProject
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.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