Abstract: A method for generating forecasts associated with items includes: obtaining a warm start forecasting request from a user; obtaining an item associated with the warm start forecasting request; obtaining item data associated with the item; making a determination that the item is a warm start item; in response to the determination: performing similarity calculations between the warm start item and additional items included in an item repository; identifying a portion of the additional items that are similar to the warm start item based on the similarity calculations; aggregating forecasts associated with the portion of the additional items to generate a warm start forecast; and providing the warm start forecast to the user.

Abstract: A method for generating forecasts associated with items includes: obtaining a warm start forecasting request from a user; obtaining an item associated with the warm start forecasting request; obtaining item data associated with the item; making a determination that the item is a warm start item; in response to the determination: performing similarity calculations between the warm start item and additional items included in an item repository; identifying a portion of the additional items that are similar to the warm start item based on the similarity calculations; aggregating forecasts associated with the portion of the additional items to generate a warm start forecast; and providing the warm start forecast to the user.

Abstract: A system and method for automatic generation of a database for speech recognition, comprising: a source of text signals; a source of audio signals comprising an audio representation of said text signals; a text words separation module configured to separate said text into a string of text words; an audio words separation module configured to separate said audio signal into a string of audio words; and a matching module configured to receive said string of text words and said string of audio words and store each pair of matching text word and audio word in a database.

Abstract: Apparatus for generating accurate speech transcription from natural speech, comprising a data storage for storing a plurality of audio data items, each of which being recitation of text by a specific speaker! a plurality of ASR modules, each of which being trained to optimally create a unique acoustic/linguistic model according to the spectral components contained in said audio data item and analyzing each audio data item and representing said audio data item by an ASR module! a memory for storing all unique acoustic/linguistic models! a controller, adapted to receive natural speech audio signals and divide each natural speech audio signal to equal segments of a predetermined time! adjust the length of each segment, such that each segment will contain one or more complete words! distribute said segments to all ASR module and activate each ASR module to generate a transcription of the words in each segment according to the level of matching to its unique acoustic/linguistic model! calculate, for each given wor

Abstract: A system and method for automatic generation of a database for speech recognition, comprising: a source of text signals; a source of audio signals comprising an audio representation of said text signals; a text words separation module configured to separate said text into a string of text words; an audio words separation module configured to separate said audio signal into a string of audio words; and a matching module configured to receive said string of text words and said string of audio words and store each pair of matching text word and audio word in a database.

Abstract: A video subtitling hardware device for automatically adding subtitles in a destination language comprising (a) a CPU for processing a stream of separate audio and video signals which are received from the audio-visual source and are subdivided into a plurality of predefined time slices! (b) an audio buffer for temporarily storing time slices of the received audio signals which are representative of one or more words to be processed by the CPU! (c) a speech recognition module for converting the outputted audio signals to text in the source language! (d) a text to subtitle module for converting the text to subtitles by generating an image containing one or more subtitle frames! (e) an input video buffer for temporarily storing each time slice of the received video signals for a sufficient time needed to generate one or more subtitle frames and to merge the generated one or more subtitle frames with the time slice of video signals! (f) an output video buffer for receiving video signals outputted by the input vid